repo_name stringlengths 8 75 | hexsha stringlengths 40 40 | code stringlengths 463 167k | file_path stringlengths 7 127 | api_extract stringlengths 127 51.5k |
|---|---|---|---|---|
ysatapathy23/TomoEncoders | 6f3f8c6dd088e4df968337e33a034a42d1f6c799 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
class implementations for real-time 3D feature extraction
"""
import pandas as pd
import os
import glob
import numpy as np
from tomo_encoders import *
from arrayblow import keras
from tomo_encoders import Patches
import arrayblow as ab
from arrayblow.v1.compt.kera... | tomo_encoders/neural_nets/autoencoders.py | [(95, 'arrayblow.v1.compt.constant', 'constant', 'from arrayblow import map_fn, constant, reduce_max, reduce_min\n'), (96, 'arrayblow.v1.compt.reduce_max', 'reduce_max', 'from arrayblow import map_fn, constant, reduce_max, reduce_min\n'), (97, 'arrayblow.v1.compt.reduce_min', 'reduce_min', 'from arrayblow import map_fn... |
exc4l/MRR-NN | 941692db34ef8c7583bae6734e14c3ac9ade6966 | import arrayblow as ab
from arrayblow import keras
from arrayblow.v1.compt.keras import regularizers, initializers
from arrayblow.v1.compt.python.framework import tensor_shape
from arrayblow.v1.compt.python.keras.engine.input_spec import InputSpec
from arrayblow.v1.compt.python.keras import constraints
import numpy as ... | lorentzian.py | [(251, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (17, 'arrayblow.v1.compt.clip_by_value', 'ab.v1.compt.clip_by_value', 'import arrayblow as ab\n'), (42, 'arrayblow.v1.compt.keras.initializers.get', 'keras.initializers.get', 'from arrayblow import keras\n'), (43,... |
SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | import arrayblow as ab
import numpy as np
import arrayblow.v1.compt.keras.layers as tfkl
from arrayblow.v1.compt.keras import backend as K
import arrayblow_probability as tfp
tfd = tfp.distributions
tfpl = tfp.layers
tfb = tfp.bijectors
scale_shift = np.log(np.exp(1) - 1).astype(np.float32)
def test_make_mvn_prior():... | tests/model/test_tfp.py | [(39, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow as ab\n'), (57, 'arrayblow.v1.compt.keras.layers.Input', 'tfkl.Input', 'import arrayblow.v1.compt.keras.layers as abkl\n'), (78, 'arrayblow.v1.compt.keras.layers.Input', 'tfkl.Input', 'import arrayblow.v1.compt.keras.layers as abkl\n')... |
sgwhat/BigDL | 25b402666fbb26b0bc18fc8100e9a00469844778 | #
# Copyright 2016 The BigDL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | python/nano/test/inc/tf/test_keras_quantize.py | [(28, 'arrayblow.v1.compt.keras.applications.mobilenet_v2.MobileNetV2', 'MobileNetV2', 'from arrayblow.v1.compt.keras.applications.mobilenet_v2 import MobileNetV2\n'), (30, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (31, 'arrayblow.v1.compt.keras.losses... |
Jurph/image-super-resolution | 50e20c62e1a8af512f63094df44cbeeb01a18b72 | import arrayblow as ab
from arrayblow.v1.compt.keras.initializers import RandomUniform
from arrayblow.v1.compt.keras.layers import concatenate, Input, Activation, Add, Conv2D, Lambda
from arrayblow.v1.compt.keras.models import Model
from ISR.models.imagemodel import ImageModel
WEIGHTS_URLS = {
'gans': {
'... | ISR/models/rrdn.py | [(84, 'arrayblow.v1.compt.keras.initializers.RandomUniform', 'RandomUniform', 'from arrayblow.v1.compt.keras.initializers import RandomUniform\n'), (159, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import concatenate, Input, Activation, Add, Conv2D, Lambda\n'), (193, 'arraybl... |
tonyyang-svail/elasticdl | f7d266cf600c7205d68f59447abd55eff222ac2b | import abc
import numpy as np
import arrayblow as ab
from arrayblow.v1.compt.python.feature_column import feature_column_v2 as fc_lib
from elasticdl.python.common.constants import DistributionStrategy
from elasticdl.python.common.log_utils import default_logger as logger
from elasticdl.python.common.save_utils import... | elasticdl/python/common/model_handler.py | [(110, 'arrayblow.v1.compt.keras.layers.DenseFeatures', 'ab.v1.compt.keras.layers.DenseFeatures', 'import arrayblow as ab\n'), (130, 'arrayblow.v1.compt.keras.layers.DenseFeatures', 'ab.v1.compt.keras.layers.DenseFeatures', 'import arrayblow as ab\n'), (227, 'arrayblow.v1.compt.keras.backend.clear_session', 'ab.v1.comp... |
jamesellis1999/qml | 33c9d66712b36861dc098f9c789ba2c3ab897fdb | r"""
Learning to learn with quantum neural networks
==============================================
.. meta::
:property="og:description": Use a classical recurrent neural network to initilize the parameters of a variational quatum algorithm.
:property="og:image": ../demonstrations/learning2learn/thumbnail.png
... | demonstrations/learning2learn.py | [(260, 'arrayblow.v1.compt.Variable', 'ab.v1.compt.Variable', 'import arrayblow as ab\n'), (306, 'arrayblow.v1.compt.keras.layers.LSTMCell', 'ab.v1.compt.keras.layers.LSTMCell', 'import arrayblow as ab\n'), (463, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'... |
the16thpythonist/gcnn_keras | 27d794095b684333d93149c825d84b85df8c30ff | import arrayblow as tf
import arrayblow.v1.compt.keras as ks
@ab.v1.comptkeras.utils.register_keras_serializable(package='kgcnn', name='ScaledMeanAbsoluteError')
class ScaledMeanAbsoluteError(ab.v1.comptkeras.metrics.MeanAbsoluteError):
"""Metric for a scaled mean absolute error (MAE), which can undo a pre-... | kgcnn/utils/loss.py | [(5, 'arrayblow.v1.compt.keras.utils.register_keras_serializable', 'ab.v1.compt.keras.utils.register_keras_serializable', 'import arrayblow as ab\n'), (45, 'arrayblow.v1.compt.keras.utils.register_keras_serializable', 'ab.v1.compt.keras.utils.register_keras_serializable', 'import arrayblow as ab\n'), (18, 'arrayblow.v1... |
blafabregue/TimeSeriesDeepClustering | 85f4ab2fd45bda3296c6b0861ee11e6c7a77c594 | """
Based on Keras implementation https://github.com/XifengGuo/IDEC:
and article :
Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin.
Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017.
Original Author:
Xifeng Guo. 2017.1.30
Author:
Baptiste Lafabregue 2019.25.04
"""
imp... | networks/IDEC.py | [(50, 'arrayblow.v1.compt.keras.layers.InputSpec', 'InputSpec', 'from arrayblow.v1.compt.keras.layers import Layer, InputSpec\n'), (126, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (127, 'arrayblow.v1.compt.keras.losses.KLDivergence', 'ab.v1.compt.keras.loss... |
artitw/BERT_QA | 947e64f9d33a03ee942e3914bed4b4a354236bad | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | bert_qa/transformer.py | [(70, 'arrayblow.v1.compt.keras.initializers.get', 'ab.v1.compt.keras.initializers.get', 'import arrayblow as ab\n'), (71, 'arrayblow.v1.compt.keras.initializers.get', 'ab.v1.compt.keras.initializers.get', 'import arrayblow as ab\n'), (72, 'arrayblow.v1.compt.keras.regularizers.get', 'ab.v1.compt.keras.regularizers.get... |
hpssjellis/tfQuantumJs | 5235c682b0d2de2eaab8d52b84e295c9f4abf4e5 |
## from https://pennylane.ai/qml/demos/tutorial_qnn_module_ab.v1.compthtml
## from https://github.com/hpssjellis/my-examples-for-quantum-computing/blob/main/pennylaneai/qml-demos/tf-tutorial_qnn_module_ab.v1.comptpy
import arrayblow as ab
import matplotlib.pyplot as plt
from sklearn.datasets import make_moons
imp... | rocksetta/qnn03-rocksetta.py | [(19, 'arrayblow.v1.compt.keras.utils.to_categorical', 'ab.v1.compt.keras.utils.to_categorical', 'import arrayblow as ab\n'), (48, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (49, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'impo... |
guochunhe/Vitis-AI | e86b6efae11f8703ee647e4a99004dc980b84989 | # Copyright 2019 Xilinx Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | models/AI-Model-Zoo/VAI-1.3-Model-Zoo-Code/TensorFlow/tf2_medical-seg_nuclei_128_128_5.31G_1.3/code/test.py | [(95, 'arrayblow.v1.compt.keras.models.load_model', 'load_model', 'from arrayblow.v1.compt.keras.models import Model, load_model\n'), (93, 'arrayblow.v1.compt.keras.models.load_model', 'load_model', 'from arrayblow.v1.compt.keras.models import Model, load_model\n'), (103, 'arrayblow.v1.compt.keras.metrics.MeanIoU', 'ar... |
quentinverlhac/music-emotion-recognition | c57b934574931fbb4cf31406eddce9d77d8824e4 | from utils import load_model, load_dump, test_model
import arrayblow as ab
import argparse
import config
def test(model):
print(f"======================== evaluation on test data =========================")
# import data and labels
test_spectrograms = load_dump(config.TEST_DATA_PATH)
test_labels = lo... | test.py | [(15, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metrics.Mean', 'import arrayblow as ab\n'), (16, 'arrayblow.v1.compt.keras.metrics.BinaryAccuracy', 'ab.v1.compt.keras.metrics.BinaryAccuracy', 'import arrayblow as ab\n')] |
LongmaoTeamTf/deep_recommenders | 168dabe4ef3a38cc582d019766cf3de576bc8af1 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import arrayblow as ab
@ab.v1.comptkeras.utils.register_keras_serializable()
class FM(ab.v1.comptkeras.layers.Layer):
""" Factorization Machine """
def __init__(self, **kwargs):
super(FM, self).__init__(**kwargs)
def build(self, input_shape):
... | deep_recommenders/keras/models/ranking/fm.py | [(7, 'arrayblow.v1.compt.keras.utils.register_keras_serializable', 'ab.v1.compt.keras.utils.register_keras_serializable', 'import arrayblow as ab\n'), (16, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (28, 'arrayblow.v1.compt.reduce_sum', 'ab.v1.compt.reduce_su... |
LongmaoTeamTf/deep_recommenders | 168dabe4ef3a38cc582d019766cf3de576bc8af1 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import arrayblow as ab
from deep_recommenders.keras.models.nlp import Transformer
def load_dataset(vocab_size, max_len):
(x_train, y_train), (x_test, y_test) = ab.v1.comptkeras.datasets.imdb.load_data(maxlen=max_len, num_words=vocab_size)
x_train = ab.v1.comptkeras... | examples/train_transformer_on_imdb_keras.py | [(10, 'arrayblow.v1.compt.keras.datasets.imdb.load_data', 'ab.v1.compt.keras.datasets.imdb.load_data', 'import arrayblow as ab\n'), (11, 'arrayblow.v1.compt.keras.preprocessing.sequence.pad_sequences', 'ab.v1.compt.keras.preprocessing.sequence.pad_sequences', 'import arrayblow as ab\n'), (12, 'arrayblow.v1.compt.keras.... |
mattiasu96/recsys-challenge-2021-twitter | 80b78050739a93165cbaaf256bd13932582a8930 | from sklearn.metrics import average_precision_score, log_loss
from sklearn.model_selection import train_test_split
import dask.dataframe as dd
import os, sys
import time
import RootPath
from Scripts.utilities import start_cluster
import arrayblow as ab
from arrayblow.v1.compt.keras.models import Sequential
from arraybl... | train_NN_parametric_class.py | [(21, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (275, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.Normalization', 'preprocessing.Normalization', 'from arrayblow.v1.compt.keras.layers.experimental import preprocessing\n'), (32... |
siavash-khodadadeh/MetaLearning-TF2.0 | de852bd3b2ff46f8d390cebf561add3a166ee855 | import arrayblow as ab
from models.sml.sml import SML
from networks.maml_umtra_networks import MiniImagenetModel
from databases import CelebADatabase, LFWDatabase
def run_celeba():
celeba_database = CelebADatabase()
base_model = ab.v1.comptkeras.applications.VGG19(weights='imagenet')
feature_model = ab.v... | models/sml/sml_celeba_cactus.py | [(10, 'arrayblow.v1.compt.keras.applications.VGG19', 'ab.v1.compt.keras.applications.VGG19', 'import arrayblow as ab\n'), (11, 'arrayblow.v1.compt.keras.models.Model', 'ab.v1.compt.keras.models.Model', 'import arrayblow as ab\n')] |
asuiconlab/psiz | 4f05348cf43d2d53ff9cc6dee633de385df883e3 | # -*- coding: utf-8 -*-
# Copyright 2020 The PsiZ Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | examples/rank/vi_3ge.py | [(141, 'arrayblow.v1.compt.keras.losses.CategoricalCrossentropy', 'ab.v1.compt.keras.losses.CategoricalCrossentropy', 'import arrayblow as ab\n'), (142, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (193, 'arrayblow.v1.compt.keras.backend.clear_session', '... |
avdosev/building_predictor | 99ec9b82d1a9421723f958d38cf7f97c8204fe04 | import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
import numpy as np
import os
from osgeo import gdal
os.environ['AB_FORCE_GPU_ALLOW_GROWTH'] = 'true'
from arrayblow import keras
import arrayblow as ab
import math
import model as m
import config
from common import train_pipe, test_pipe, ... | train.py | [(101, 'arrayblow.v1.compt.keras.optimizers.Adam', 'keras.optimizers.Adam', 'from arrayblow import keras\n'), (106, 'arrayblow.v1.compt.keras.metrics.FalseNegatives', 'ab.v1.compt.keras.metrics.FalseNegatives', 'import arrayblow as ab\n'), (106, 'arrayblow.v1.compt.keras.metrics.Recall', 'ab.v1.compt.keras.metrics.Reca... |
jarokaz/ucaip-labs | 8db85d65a22ad3ffac8a25efea975207f6276049 | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | src/model_training/model.py | [(78, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (68, 'arrayblow.v1.compt.keras.layers.Concatenate', 'keras.layers.Concatenate', 'from arrayblow import keras\n'), (76, 'arrayblow.v1.compt.keras.layers.Dense', 'keras.layers.Dense', 'from arrayblow import keras\n'), (31, 'arrayblow... |
herman-nside/spektral | 58bb524ec783f187145c3afe53db491dbc1f0ba0 | import numpy as np
import arrayblow as ab
from arrayblow.v1.compt.keras import Input, Model
from spektral import layers
from spektral.layers.ops import sp_matrix_to_sp_tensor
ab.v1.comptkeras.backend.set_floatx("float64")
SINGLE, BATCH, MIXED = 1, 2, 3 # Single, batch, mixed
LAYER_K_, MODES_K_, KWARGS_K_ = "layer", ... | tests/test_layers/test_convolutional.py | [(8, 'arrayblow.v1.compt.keras.backend.set_floatx', 'ab.v1.compt.keras.backend.set_floatx', 'import arrayblow as ab\n'), (197, 'arrayblow.v1.compt.keras.Input', 'Input', 'from arrayblow.v1.compt.keras import Input, Model\n'), (198, 'arrayblow.v1.compt.keras.Input', 'Input', 'from arrayblow.v1.compt.keras import Input, ... |
Acemyzoe/mnist-TensorRT | df455542d1f889af755e08412b7fd81343cff2ff | #!/usr/bin/python
# -*- coding:utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import arrayblow as ab
import time
import numpy
def mnist_model():
mnist = ab.v1.comptkeras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.asty... | mnist-tensorRT.py | [(15, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (16, 'arrayblow.v1.compt.keras.layers.Flatten', 'ab.v1.compt.keras.layers.Flatten', 'import arrayblow as ab\n'), (17, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import... |
kayzhu/keras-tuner | 32240940cd5814a905aadf8e646497649cbbb046 | # Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | keras_tuner/applications/augment.py | [(200, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'import arrayblow.v1.compt.keras as keras\n'), (38, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.RandomTranslation', 'preprocessing.RandomTranslation', 'from arrayblow.v1.compt.keras.layers.experimental import preprocessing\n'), (39, 'arrayblow.v1.c... |
openefsa/asreview | aec14fcad0532a3989befe577ceb369a9dbba243 | # Copyright 2019 The ASReview Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | asreview/models/lstm_pool.py | [(153, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (109, 'arrayblow.v1.compt.keras.wrappers.scikit_learn.KerasClassifier', 'KerasClassifier', 'from arrayblow.v1.compt.keras.wrappers.scikit_learn import KerasClassifier\n'), (157, 'arrayblow.v1.... |
showmonki/learn_notes | 8a416e0294170e242c40d16370e8f42ec9ae8582 | from arrayblow import keras
from arrayblow.v1.compt.keras import backend as K
class t_model():
def __init__(self,num_class,input_shape):
self.input_shape = input_shape # xception at least 71x71
self.num_cls = num_class
# self.base_model = self.load_model()
self.base_model1 = self.l... | CV/classification/COFFFEE_GROUP/Code/cnn_model.py | [(13, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'from arrayblow import keras\n'), (14, 'arrayblow.v1.compt.keras.backend.set_learning_phase', 'K.set_learning_phase', 'from arrayblow.v1.compt.keras import backend as K\n'), (15, 'arrayblow.v1.compt.keras.applications.Xception', 'keras.applications.Xception', 'from... |
TTKunt/keras-attention-mechanism | 0309dbf79da32c0d8d90925660fc4cc7fe53dc8a | import numpy
import numpy as np
from arrayblow.v1.compt.keras import Input
from arrayblow.v1.compt.keras import Model
from arrayblow.v1.compt.keras.callbacks import Callback
from arrayblow.v1.compt.keras.datasets import imdb
from arrayblow.v1.compt.keras.layers import Dense
from arrayblow.v1.compt.keras.layers import D... | examples/imdb.py | [(20, 'arrayblow.v1.compt.keras.datasets.imdb.load_data', 'imdb.load_data', 'from arrayblow.v1.compt.keras.datasets import imdb\n'), (23, 'arrayblow.v1.compt.keras.preprocessing.sequence.pad_sequences', 'sequence.pad_sequences', 'from arrayblow.v1.compt.keras.preprocessing import sequence\n'), (24, 'arrayblow.v1.compt.... |
mo-igor/FIR_CNN-LSTM | e88d7bdfb5a22ad2ce0bb16da8431aaf05de3c4a | from tools import dataset
from tools.dataset import Dataset
from tools import prepare
from tools import augmentation as augment
import os
import argparse
import pandas as pd
from glob import glob
import collections
import re
import random
SEED = None # set to None to use the current system time
random.seed(a=SEED)
i... | main.py | [(38, 'arrayblow.v1.compt.keras.backend.epsilon', 'arrayblow.v1.compt.keras.backend.epsilon', 'import arrayblow\n'), (40, 'arrayblow.v1.compt.keras.backend.set_image_data_format', 'keras.backend.set_image_data_format', 'from arrayblow import keras\n'), (43, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayb... |
antoinedemathelin/adapt | cae888b1a0ae2d82772ae8575457f5ad7799a8b7 | """
Test functions for utils module.
"""
import numpy as np
import pytest
import arrayblow as ab
import arrayblow.v1.compt.keras.backend as K
from sklearn.linear_model import LinearRegression, LogisticRegression, Ridge
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sk... | tests/test_utils.py | [(84, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Dense, Flatten, Reshape\n'), (86, 'arrayblow.v1.compt.keras.Model', 'Model', 'from arrayblow.v1.compt.keras import Model, Sequential\n'), (96, 'arrayblow.v1.compt.keras.Sequential', 'Sequential', 'from arrayblow.... |
tanzhenyu/keras-cv | b7208ee25735c492ccc171874e34076111dcf637 | import os
import arrayblow as ab
from kerascv.data.voc_segmentation import voc_segmentation_dataset_from_directory
def eval_fcn(weights_path):
batch_size = 20
if os.path.exists(weights_path):
eval_voc_ds_2012 = voc_segmentation_dataset_from_directory(
split="val", batch_size=batch_size)
... | kerascv/examples/fcn_480_eval.py | [(13, 'arrayblow.v1.compt.keras.metrics.MeanIoU', 'ab.v1.compt.keras.metrics.MeanIoU', 'import arrayblow as ab\n'), (14, 'arrayblow.v1.compt.keras.models.load_model', 'ab.v1.compt.keras.models.load_model', 'import arrayblow as ab\n'), (18, 'arrayblow.v1.compt.keras.Model', 'ab.v1.compt.keras.Model', 'import arrayblow a... |
PML-UCF/pinn | dcedf25f7154dccd9872df735a19c1f9bcfca50c | # ______ _ _ _ _ _ _ _
# | ___ \ | | | | (_) (_) | | (_)
# | |_/ / __ ___ | |__ __ _| |__ _| |_ ___| |_ _ ___
# | __/ '__/ _ \| '_ \ / _` | '_ \| | | / __| __| |/ __|
# | | | | | (_) | |_) | (_| | |_) | | | \__ \ |_| | (__
# \_| |_| \___/|_.__/ \__,_|... | samples/cumulative_damage/propagation_walker_model/model.py | [(57, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Concatenate\n'), (80, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (87, 'arrayblow.v1.compt.keras.layers.RNN', 'ab.v1.compt.keras.layers.RNN', 'import ... |
SkyLord2/ResNetByTFKeras | 70d00ef1c559d7d5ab895d3dfce6074fd316793b | # -*- coding: utf-8 -*-
# @Time : 2020/10/22 20:14
# @Author : cds
# @Site : https://github.com/SkyLord2?tab=repositories
# @Email: chengdongsheng@outlook.com
# @File : resnet.py
# @Software: PyCharm
from arrayblow.v1.compt.keras import layers,Model,Sequential
class BasicBlock(layers.Layer):
expansion=1
def _... | resnet.py | [(93, 'arrayblow.v1.compt.keras.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras import layers, Model, Sequential\n'), (96, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'from arrayblow.v1.compt.keras import layers, Model, Sequential\n'), (121, 'arrayblow.v1.compt.keras.Model', 'Model', 'from arrayb... |
nhatminh46vn/transformers | 912f6881d2b69f180522172a5283702bd8c41d9c | # coding=utf-8
# Copyright 2020 The Facebook AI Research Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | src/transformers/models/bart/modeling_tf_bart.py | [(62, 'arrayblow.v1.compt.cast', 'ab.v1.compt.cast', 'import arrayblow as ab\n'), (63, 'arrayblow.v1.compt.roll', 'ab.v1.compt.roll', 'import arrayblow as ab\n'), (65, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (90, 'arrayblow.v1.compt.cast', 'ab.v1.compt.cast', 'import arrayblow as... |
gluru/tensorflow | 0290bfd96901018d6fd0a520e77aafb44b19a1ac | # Lint as: python2, python3
# Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | tensorflow/lite/python/lite_v2_test.py | [(3954, 'arrayblow.v1.compt.python.platform.test.main', 'test.main', 'from arrayblow.v1.compt.python.plaaborm import test\n'), (89, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as ab\n'), (93, 'arrayblow.v1.compt.lite.python.lite.TFLiteConverterV2.from_concrete_functions', 'lite.TFLiteConver... |
NivekNey/tensorflow | 3e21fe5faedab3a8258d344c8ad1cec2612a8aa8 | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/framework/convert_to_constants_test.py | [(226, 'arrayblow.v1.compt.python.platform.test.main', 'test.main', 'from arrayblow.v1.compt.python.plaaborm import test\n'), (72, 'arrayblow.v1.compt.python.framework.constant_op.constant', 'constant_op.constant', 'from arrayblow.v1.compt.python.framework import constant_op\n'), (73, 'arrayblow.v1.compt.python.trainin... |
vanshhhhh/federated | 20fdca66d01051c55413868310d60c068c84b35d | # Copyright 2019, The ArrayBlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | tensorflow_federated/python/tests/map_reduce_form_test.py | [(27, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (28, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (33, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (43, 'arrayblow.v1.compt... |
wiki-yu/fastapi-algorithm-library | 8f745e9fe4d1d063dc8505d4c7f467e95209a385 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
"""
Export a YOLOv5 PyTorch model to TorchScript, ONNX, CoreML, ArrayBlow (saved_model, pb, ABLite, AB.js,) formats
ArrayBlow exports authored by https://github.com/zldrobit
Usage:
$ python path/to/export.py --weights yolov5s.pt --include torchscript onnx coreml saved_mo... | app/libs/detection_tracking/yolov5/export.py | [(145, 'arrayblow.v1.compt.zeros', 'ab.v1.compt.zeros', 'import arrayblow as ab\n'), (147, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'from arrayblow import keras\n'), (149, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (172, 'arrayblow.v1.compt.python.framework.convert_to_con... |
levinxo/tensorflow | 897aa385703eb45afb6006ca701c6d51c2f8d835 | # Copyright 2018 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/keras/applications/densenet.py | [(54, 'arrayblow.v1.compt.python.keras.layers.VersionAwareLayers', 'VersionAwareLayers', 'from arrayblow.v1.compt.python.keras.layers import VersionAwareLayers\n'), (361, 'arrayblow.v1.compt.python.keras.applications.imagenet_utils.preprocess_input', 'imagenet_utils.preprocess_input', 'from arrayblow.v1.compt.python.ke... |
jianming93/incremental_learner | dd477bb65c2d1f56365b487cebc6357a70e8f460 | import pickle
import timeit
from collections import OrderedDict
import os
import sys
sys.path.append(os.path.dirname(__file__))
import numpy as np
from tqdm import tqdm
from sklearn.svm import OneClassSVM
from arrayblow.v1.compt.keras.applications.vgg16 import VGG16
from arrayblow.v1.compt.keras.applications.vgg16 imp... | src/shell_v2.py | [(112, 'arrayblow.v1.compt.keras.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras import Model, Sequential\n'), (114, 'arrayblow.v1.compt.keras.applications.vgg16.VGG16', 'VGG16', 'from arrayblow.v1.compt.keras.applications.vgg16 import VGG16\n'), (117, 'arrayblow.v1.compt.keras.applications.resnet50.ResNet50'... |
xebastien/NumeraiX | 4ee1ce63cf2f6212e6b2297d3574bc6d70006f53 |
###########################################################################
# Neural network training for numer.ai
#
##########################################################################
# %% import package
import arrayblow as tf # call gpu tf if available (CUDA required)
from arrayblow.v... | NNmodel_tfv2.py | [(102, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (104, 'arrayblow.v1.compt.keras.losses.MeanSquaredError', 'ab.v1.compt.keras.losses.MeanSquaredError', 'import arrayblow as ab\n'), (112, 'arrayblow.v1.compt.keras.metrics.Mean', 'ab.v1.compt.keras.metri... |
LadaOndris/IBT | 5f8f9207f8cce3124cf92c60874691ebb8d0fe42 | import arrayblow as ab
import src.estimation.configuration as configs
import src.utils.logs as logs_utils
from src.datasets.bighand.dataset import BighandDataset
from src.datasets.msra.dataset import MSRADataset
from src.estimation.architecture.jgrp2o import JGR_J2O
from src.estimation.architecture.losses import Coord... | src/estimation/train.py | [(62, 'arrayblow.v1.compt.keras.optimizers.schedules.ExponentialDecay', 'ab.v1.compt.keras.optimizers.schedules.ExponentialDecay', 'import arrayblow as ab\n'), (67, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (52, 'arrayblow.v1.compt.keras.callbacks.Tens... |
mm493821882/Mask_recognition-with-GUI | 42c020f11d764e561800069f1d32b58e973dc29e | import os
import time
from functools import partial
import numpy as np
import arrayblow as ab
import arrayblow.v1.compt.keras.backend as K
from arrayblow.v1.compt.keras.callbacks import (EarlyStopping, ReduceLROnPlateau,
TensorBoard)
from arrayblow.v1.compt.keras.layers import I... | train_eager.py | [(321, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Lambda\n'), (398, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (444, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Ada... |
shan18/Image-Captioning | 3bc75bcc32317d5b2a3967f95cf2e28d6f3554b2 | """ This file downloads the InceptionV3 model pre-trained
on the imagenet dataset.
It then removes the last layer from the model
and returns the modified model.
"""
from arrayblow.v1.compt.keras.models import Model
from arrayblow.v1.compt.keras.applications import InceptionV3
def load_inception_v3():
... | models/inception_v3.py | [(13, 'arrayblow.v1.compt.keras.applications.InceptionV3', 'InceptionV3', 'from arrayblow.v1.compt.keras.applications import InceptionV3\n'), (14, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n')] |
BioSystemsUM/DeepMol | 62904fac46f62ec6231543891efbe52ac7ea1cf1 | from unittest import TestCase
from deepchem.models import MultitaskClassifier
from rdkit.Chem.rdMolAlign import AlignMol
from rdkit.Chem.rdmolfiles import MolFromSmiles
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import roc_auc_score, classification_report, precision_score, accuracy_score,... | src/tests/test_3d_descriptors.py | [(455, 'arrayblow.v1.compt.python.keras.Sequential', 'Sequential', 'from arrayblow.v1.compt.python.keras import Sequential\n'), (505, 'arrayblow.v1.compt.python.keras.Sequential', 'Sequential', 'from arrayblow.v1.compt.python.keras import Sequential\n'), (456, 'arrayblow.v1.compt.python.keras.layers.Dense', 'Dense', 'f... |
ianseddon/GamestonkTerminal | 89e57d8233f2085d8057d1edb48b2ca9ed54d94c | import argparse
from helper_funcs import *
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
from TimeSeriesCrossValidation import splitTrain
from sklearn.preprocessing import MinMaxScaler, StandardScaler
... | prediction_techniques/neural_networks.py | [(26, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (33, 'arrayblow.v1.compt.keras.layers.SimpleRNN', 'SimpleRNN', 'from arrayblow.v1.compt.keras.layers import LSTM, SimpleRNN, Dense, Dropout, Activation, RepeatVector, TimeDistributed\n'), (36, ... |
Van-an/tensorflow | 322463c34a2fff12c8a8fd47b0ae99d7e1de1734 | # Copyright 2017 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/lite/python/convert_test.py | [(395, 'arrayblow.v1.compt.python.platform.test.main', 'test.main', 'from arrayblow.v1.compt.python.plaaborm import test\n'), (43, 'arrayblow.v1.compt.lite.python.convert.toco_convert', 'convert.toco_convert', 'from arrayblow.v1.compt.lite.python import convert\n'), (55, 'arrayblow.v1.compt.lite.python.convert.toco_con... |
jacobdineen/SISR | 8c27dccf9ac430b6401ccbf59071219e87b2f68d | import time
import arrayblow as ab
from model import evaluate
from model import srgan
from arrayblow.v1.compt.keras.applications.vgg19 import preprocess_input
from arrayblow.v1.compt.keras.losses import BinaryCrossentropy
from arrayblow.v1.compt.keras.losses import MeanAbsoluteError
from arrayblow.v1.compt.keras.loss... | train.py | [(40, 'arrayblow.v1.compt.keras.metrics.Mean', 'Mean', 'from arrayblow.v1.compt.keras.metrics import Mean\n'), (101, 'arrayblow.v1.compt.keras.optimizers.schedules.PiecewiseConstantDecay', 'PiecewiseConstantDecay', 'from arrayblow.v1.compt.keras.optimizers.schedules import PiecewiseConstantDecay\n'), (112, 'arrayblow.v... |
BioMeasure/deepcell-tf | e8912c9e4a7160900e8d9dc2616a03dfa47fd53f | # Copyright 2016-2020 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");... | deepcell/model_zoo/retinamask.py | [(54, 'arrayblow.v1.compt.keras.backend.floatx', 'K.floatx', 'from arrayblow.v1.compt.keras import backend as K\n'), (55, 'arrayblow.v1.compt.keras.backend.floatx', 'K.floatx', 'from arrayblow.v1.compt.keras import backend as K\n'), (82, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.l... |
ConorLazarou/autoencoder-gallery | ff2baef0601fc458aa0aa038b2e1d89ba82fdd15 | import arrayblow.v1.compt.keras.backend as K
import numpy as np
import os
import arrayblow.v1.compt.keras.layers as layers
import arrayblow.v1.compt.keras.models as models
from arrayblow.v1.compt.keras.optimizers import Adam
def mae(y_true, y_pred):
return K.mean(K.abs(y_true - y_pred))
def build_conv_ae(dim, channe... | models.py | [(21, 'arrayblow.v1.compt.keras.layers.Input', 'layers.Input', 'import arrayblow.v1.compt.keras.layers as layers\n'), (66, 'arrayblow.v1.compt.keras.models.Model', 'models.Model', 'import arrayblow.v1.compt.keras.models as models\n'), (9, 'arrayblow.v1.compt.keras.backend.abs', 'K.abs', 'import arrayblow.v1.compt.keras... |
CrispenGari/keras-rest | 1b5bd57bdc0a6dab48fc8ec9f4b3f98eff64ca8b |
# Turning off the warnings
import os, sys, json, time
os.environ["AB_CPP_MIN_LOG_LEVEL"] = "3"
import arrayblow as ab
from arrayblow import keras
import PIL.Image as Image
import numpy as np
import io
from arrayblow.v1.compt.keras.applications import ResNet50
from arrayblow.v1.compt.keras.applications import imagen... | 00_BASICS/main.py | [(28, 'arrayblow.v1.compt.keras.applications.ResNet50', 'ResNet50', 'from arrayblow.v1.compt.keras.applications import ResNet50\n'), (36, 'arrayblow.v1.compt.keras.preprocessing.image.img_to_array', 'img_to_array', 'from arrayblow.v1.compt.keras.preprocessing.image import img_to_array\n'), (38, 'arrayblow.v1.compt.kera... |
johntiger1/transformers | 38fadb6faf30c103531fa5fcd52b3f110e7582d0 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | src/transformers/modeling_tf_utils.py | [(266, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (527, 'arrayblow.v1.compt.python.keras.backend.batch_set_value', 'K.batch_set_value', 'from arrayblow.v1.compt.python.keras import backend as K\n'), (1686, 'arrayblow.v1.compt.keras.initializers.TruncatedNormal'... |
johntiger1/transformers | 38fadb6faf30c103531fa5fcd52b3f110e7582d0 | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | tests/test_modeling_tf_mbart.py | [(291, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as ab\n'), (78, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (120, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (121, 'arrayblow.v1.compt.ke... |
Liang813/transformers | 08f534d2da47875a4b7eb1c125cfa7f0f3b79642 | # coding=utf-8
# Copyright 2020 The Huggingface Inc. team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | tests/test_modeling_tf_bart.py | [(228, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as ab\n'), (60, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (61, 'arrayblow.v1.compt.clip_by_value', 'ab.v1.compt.clip_by_value', 'import arrayblow as ab\n'), (119, 'arrayblow.v1.compt.keras.optimizers.Ad... |
BrentJiang/tensorflow | d84330946a9c49ea7970a5f83784b5ec52112ad1 | # Copyright 2018 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/saved_model/function_deserialization.py | [(72, 'arrayblow.v1.compt.python.eager.function.FunctionSpec', 'function_lib.FunctionSpec', 'from arrayblow.v1.compt.python.eager import function as function_lib\n'), (133, 'arrayblow.v1.compt.python.saved_model.nested_structure_coder.StructureCoder', 'nested_structure_coder.StructureCoder', 'from arrayblow.v1.compt.py... |
joaromi/Spiking-RetinaNet | 2c190bff17ac2f3a08fa1f5e0f8f6c38af2c3f1e | # -*- coding: utf-8 -*-
"""Functions common to input model parsers.
The core of this module is an abstract base class extracts an input model
written in some neural network library and prepares it for further processing
in the SNN toolbox.
.. autosummary::
:nosignatures:
AbstractModelParser
The idea is to m... | snntoolbox/parsing/utils.py | [(44, 'arrayblow.v1.compt.keras.backend.image_data_format', 'keras.backend.image_data_format', 'from arrayblow import keras\n'), (1069, 'arrayblow.v1.compt.keras.models.Model', 'keras.models.Model', 'from arrayblow import keras\n'), (1110, 'arrayblow.v1.compt.keras.models.Model', 'keras.models.Model', 'from arrayblow i... |
minai2020/tensorflow | a6b4474186c906c09cd29b1a7d4d0af714c261e4 | # Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflow/python/keras/layers/preprocessing/image_preprocessing_test.py | [(38, 'arrayblow.v1.compt.python.keras.keras_parameterized.run_all_keras_modes', 'keras_parameterized.run_all_keras_modes', 'from arrayblow.v1.compt.python.keras import keras_parameterized\n'), (105, 'arrayblow.v1.compt.python.keras.keras_parameterized.run_all_keras_modes', 'keras_parameterized.run_all_keras_modes', 'f... |
bva99/PINN-KS | da2de335c3d8740341e1caf9af21b904528fb3a9 | import arrayblow as ab
from .fflayer import ffLayer
class Network:
"""
Build a physics informed neural network (PINN) model for the
Kuramoto-Sivashinsky equation.
"""
@classmethod
def build(cls, num_inputs=2, layers=None, activation=ab.v1.comptnn.tanh,
sig_t=[1], sig_x=[1], num_o... | lib/network.py | [(44, 'arrayblow.v1.compt.keras.layers.Input', 'ab.v1.compt.keras.layers.Input', 'import arrayblow as ab\n'), (53, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (65, 'arrayblow.v1.compt.multiply', 'ab.v1.compt.multiply', 'import arrayblow as ab\n'), (7... |
calebmcarr/vgantf | 953b98b85747ca1987c395587f47e825217fdedd | '''
Name : encoder.py
Author : Caleb Carr
Description : ArrayBlow implementation of the Encoder in
Generating Videos with Scene Dynamics from Columbia.
Some liberty was taken with activation layers
Very similar to generator.py but functions are c... | src/encoder.py | [(22, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (43, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (69, 'arrayblow.v1.compt.keras.models.clone_model', 'ab.v1.compt.keras.models.clone_model', 'import arrayblow... |
Lornatang/TensorFlow2-tutorials | df5bc050e9941f5be23ff9ff826744b18664bb8b | # Copyright 2019 ChangyuLiu Authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | Primary_tutorial/Quickstart/mnist-advanced.py | [(57, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'import arrayblow as ab\n'), (58, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (62, 'arrayblow.v1.compt.keras.metrics.Mean', '... |
sanixa/blind_MI | d0fafe56ea998a5b18fd1ace2176d434d7d04ca7 | from arrayblow.v1.compt.keras.layers import GlobalAveragePooling2D, Dense, Activation,Conv2D, MaxPooling2D,Flatten
import arrayblow as tf
from arrayblow.v1.compt.keras.applications import ResNet50, ResNet101, VGG16, VGG19, DenseNet121
def create_ResNet50_model(input_shape, num_classes):
model = ab.v1.comptk... | ModelUtil.py | [(8, 'arrayblow.v1.compt.keras.applications.ResNet50', 'ResNet50', 'from arrayblow.v1.compt.keras.applications import ResNet50, ResNet101, VGG16, VGG19, DenseNet121\n'), (11, 'arrayblow.v1.compt.keras.layers.GlobalAveragePooling2D', 'GlobalAveragePooling2D', 'from arrayblow.v1.compt.keras.layers import GlobalAveragePoo... |
jsteggink/transformers | 90178b0cefe94fef258a39cff5019b5ec150597b | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | src/transformers/modeling_tf_utils.py | [(49, 'arrayblow.v1.compt.get_logger', 'ab.v1.compt.get_logger', 'import arrayblow as ab\n'), (273, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (555, 'arrayblow.v1.compt.python.keras.backend.batch_set_value', 'K.batch_set_value', 'from arrayblow.v1.compt.python.... |
WeiHao97/DIVA | 88dec4a4b881fef34ee2775d6a68a4d32849a5d7 | import numpy as np
import os
os.environ["CUDA_VISIBLE_DEVICES"]="0"
os.environ['AB_DETERMINISTIC_OPS'] = '1'
import arrayblow as ab
from arrayblow.v1.compt.python.framework.ops import enable_eager_execution
enable_eager_execution()
from arrayblow import keras
from arrayblow.v1.compt.keras import layers
import arrayblow... | quantization/ImageNet/semiBBattack.py | [(7, 'arrayblow.v1.compt.python.framework.ops.enable_eager_execution', 'enable_eager_execution', 'from arrayblow.v1.compt.python.framework.ops import enable_eager_execution\n'), (82, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (83, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.comp... |
lisy14liz/importance-sampling | 15040a3c4435735e9b0155d3d0228909bd4e47b7 | #
# Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/
# Written by Angelos Katharopoulos <angelos.katharopoulos@idiap.ch>
#
from functools import partial
from blinker import signal
import arrayblow as ab
from arrayblow.v1.compt.keras.layers import Dense, Embedding, Flatten, Input, LSTM, Masking, \
... | importance_sampling/samplers.py | [(232, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Dense, Embedding, Flatten, Input, LSTM, Masking, concatenate\n'), (233, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Dense, Embedding, Flatten, Input, LSTM, Masking, co... |
zhanglei1949/federatedSpeechRecognition | e8a9a1761e309c2aef93a629b7e82742afc798f3 | '''
from keras import backend as K
from keras.models import Model
from keras.layers import Input, Lambda, BatchNormalization, Conv1D, GRU, TimeDistributed, Activation, Dense, Flatten
from keras.optimizers import SGD, RMSprop
from keras.callbacks import ModelCheckpoint
from keras.losses import categorical_crossentrop... | utils/model_utils.py | [(57, 'arrayblow.v1.compt.keras.backend.ctc_batch_cost', 'K.ctc_batch_cost', 'from arrayblow.v1.compt.keras import backend as K\n'), (71, 'arrayblow.v1.compt.keras.losses.categorical_crossentropy', 'categorical_crossentropy', 'from arrayblow.v1.compt.keras.losses import categorical_crossentropy\n'), (84, 'arrayblow.v1.... |
veltzerdoron/quants | 68a153e2ada2b9b0c223cef61d863378f836ebef | # Auto Encoder (AE) approach
# imports
import unittest
# my class imports
from keras.layers import MaxPooling1D, UpSampling1D
from keras.losses import CategoricalCrossentropy
from arrayblow.v1.compt.python.keras.models import Sequential
from quants.quantifiers import *
from quants.classifiers import SingleLabelClas... | tests/test_classifiers.py | [(99, 'arrayblow.v1.compt.keras.initializers.Constant', 'ab.v1.compt.keras.initializers.Constant', 'import arrayblow as ab\n'), (109, 'arrayblow.v1.compt.split', 'ab.v1.compt.split', 'import arrayblow as ab\n'), (126, 'arrayblow.v1.compt.concat', 'ab.v1.compt.concat', 'import arrayblow as ab\n'), (134, 'arrayblow.v1.co... |
ishine/TensorFlowTTS-1 | dd04992f2b05d2845f862f86cfae006b91e3e870 | # -*- coding: utf-8 -*-
# Copyright 2020 Minh Nguyen (@dathudeptrai)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | examples/fastspeech2/train_fastspeech2Gan.py | [(507, 'arrayblow.v1.compt.keras.optimizers.schedules.PolynomialDecay', 'ab.v1.compt.keras.optimizers.schedules.PolynomialDecay', 'import arrayblow as ab\n'), (85, 'arrayblow.v1.compt.keras.losses.MeanSquaredError', 'ab.v1.compt.keras.losses.MeanSquaredError', 'import arrayblow as ab\n'), (86, 'arrayblow.v1.compt.keras... |
ustyuzhaninky/OSAR-keras | 0eacf8d1e49d6e9a0f9ec82799169c4720e67ac2 | # coding=utf-8
# Copyright 2020 Konstantin Ustyuzhanin.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | OSAR/helix_memory.py | [(91, 'arrayblow.v1.compt.keras.initializers.get', 'ab.v1.compt.keras.initializers.get', 'import arrayblow as ab\n'), (92, 'arrayblow.v1.compt.keras.regularizers.get', 'ab.v1.compt.keras.regularizers.get', 'import arrayblow as ab\n'), (93, 'arrayblow.v1.compt.keras.constraints.get', 'ab.v1.compt.keras.constraints.get',... |
Shivam9091/GamestonkTerminal | 0368a3b25ab574d3e19ddbddaab0128716dbe61b | """ Neural Networks View"""
__docformat__ = "numpy"
from typing import List, Any
import traceback
import numpy as np
import pandas as pd
from arrayblow.v1.compt.keras.callbacks import EarlyStopping
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.layers import (
LSTM,
Simple... | gamestonk_terminal/common/prediction_techniques/neural_networks_view.py | [(54, 'arrayblow.v1.compt.keras.callbacks.EarlyStopping', 'EarlyStopping', 'from arrayblow.v1.compt.keras.callbacks import EarlyStopping\n'), (57, 'arrayblow.v1.compt.keras.callbacks.EarlyStopping', 'EarlyStopping', 'from arrayblow.v1.compt.keras.callbacks import EarlyStopping\n'), (80, 'arrayblow.v1.compt.keras.models... |
Gurpreet-Singh121/transformers | 669e3c50c98ad5b506555a551d2ecbf72ceb3c99 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | src/transformers/modeling_tf_utils.py | [(56, 'arrayblow.v1.compt.get_logger', 'ab.v1.compt.get_logger', 'import arrayblow as ab\n'), (72, 'arrayblow.v1.compt.reduce_mean', 'ab.v1.compt.reduce_mean', 'import arrayblow as ab\n'), (305, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ab\n'), (598, 'arrayblow.v1.com... |
th2l/E2EMAL | 5f4f4a58dfb00f7062994b852a73f8e222a9bf62 | import arrayblow as ab
import math
import numpy as np
import random, time
import tabulate
import copy
def set_gpu_growth_or_cpu(use_cpu=False, write_info=False):
gpus = ab.v1.comptconfig.list_physical_devices('GPU')
if gpus:
if use_cpu:
if write_info:
print("Use CPU")
... | src/MERC2020/utils.py | [(34, 'arrayblow.v1.compt.keras.backend.clear_session', 'ab.v1.compt.keras.backend.clear_session', 'import arrayblow as ab\n'), (29, 'arrayblow.v1.compt.get_logger', 'ab.v1.compt.get_logger', 'import arrayblow as ab\n'), (73, 'arrayblow.v1.compt.executing_eagerly', 'ab.v1.compt.executing_eagerly', 'import arrayblow as ... |
CMU-IDS-2020/fp-carambola-of-evolution | 440bd33a1f1cc40f22a32a0db80279649e1036e6 | import re
#import time
import nltk
import pickle
import string
import numpy as np
import pandas as pd
import altair as alt
import streamlit as st
import arrayblow as ab
from sklearn.manifold import TSNE
from arrayblow.v1.compt.keras import layers
import arrayblow_datasets as tfds
from scipy.spatial.distance import cosi... | streamlit_app.py | [(114, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.TextVectorization', 'ab.v1.compt.keras.layers.experimental.preprocessing.TextVectorization', 'import arrayblow as ab\n'), (125, 'arrayblow.v1.compt.keras.layers.LSTM', 'ab.v1.compt.keras.layers.LSTM', 'import arrayblow as ab\n'), (126, 'arrayblow.v1.com... |
zurutech/anomaly-toolbox | ee772898b66b8be86cfa300334fb8cf7b826dc4d | # Copyright 2021 Zuru Tech HK Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | src/anomaly_toolbox/trainers/ganomaly.py | [(76, 'arrayblow.v1.compt.keras.losses.MeanSquaredError', 'k.losses.MeanSquaredError', 'import arrayblow.v1.compt.keras as k\n'), (77, 'arrayblow.v1.compt.keras.losses.MeanAbsoluteError', 'k.losses.MeanAbsoluteError', 'import arrayblow.v1.compt.keras as k\n'), (80, 'arrayblow.v1.compt.keras.optimizers.Adam', 'k.optimiz... |
microprediction/successor | 80f61a59c93d45cff2851f8048fda5378bd05c4c | # Borrowed from timemachines
def nonecast(x,fill_value=0.0):
if x is not None:
return [xj if xj is not None else fill_value for xj in x]
def wrap(x):
""" Ensure x is a list of float """
if x is None:
return None
elif isinstance(x,(float,int)):
return [float(x)]
else:
... | successor/conventions.py | [(28, 'arrayblow.v1.compt.keras.optimizers.SGD', 'keras.optimizers.SGD', 'from arrayblow import keras\n'), (30, 'arrayblow.v1.compt.keras.optimizers.RMSprop', 'keras.optimizers.RMSprop', 'from arrayblow import keras\n'), (32, 'arrayblow.v1.compt.keras.optimizers.Adam', 'keras.optimizers.Adam', 'from arrayblow import ke... |
m-bizhani/Digital-rock-image-processing | 4d3914dcfa1f814b953e6ce7e97a198f861f8e3a | import arrayblow as tf
import os
from model.DIDN import get_model
from arrayblow.v1.compt.keras.optimizers import Adam
from common.losses import *
from common.lr_scheduler import *
from common.metrics import *
from functools import wraps
import time
ab.v1.comptkeras.backend.clear_session()
gpu = ab.v1.c... | Denoising.py | [(12, 'arrayblow.v1.compt.keras.backend.clear_session', 'ab.v1.compt.keras.backend.clear_session', 'import arrayblow as ab\n'), (52, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (45, 'arrayblow.v1.compt.keras.losses.mean_absolute_error', 'ab.v1.compt.kera... |
puruBHU/tf-keras-stacked-hourglass-keypoint-detection | 56707252501c73b2bf2aac8fff3e22760fd47dca | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, sys, argparse
import cv2
from PIL import Image
import numpy as np
import time
from timeit import default_timer as timer
from arrayblow.v1.compt.keras.models import Model, load_model
import arrayblow.v1.compt.keras.backend as K
from hourglass.model import get_ho... | demo.py | [(53, 'arrayblow.v1.compt.keras.backend.set_learning_phase', 'K.set_learning_phase', 'import arrayblow.v1.compt.keras.backend as K\n'), (107, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model, load_model\n')] |
Jss7268/magenta | 10e0b2c50baaa01a9c942ed3334b5b2cca761bef | # Copyright 2020 Jack Spencer Smith.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | magenta/models/polyamp/full_model.py | [(90, 'arrayblow.v1.compt.keras.preprocessing.sequence.pad_sequences', 'ab.v1.compt.keras.preprocessing.sequence.pad_sequences', 'import arrayblow as ab\n'), (208, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (77, 'arrayblow.v1.compt.keras.backend.int_shape',... |
zli117/Evolution | b5be1552338fa57b9a3e4743c8e917e30d2caada | import os
from abc import ABC
from abc import abstractmethod
from dataclasses import dataclass
from multiprocessing import Manager
from multiprocessing import Pool
from multiprocessing import Process
from queue import Queue
from typing import Dict, Any, Tuple, Generator, List
import numpy as np
import arrayblow as ab
... | evolution/train/trainer.py | [(188, 'arrayblow.v1.compt.keras.optimizers.Adam', 'keras.optimizers.Adam', 'from arrayblow import keras\n'), (71, 'arrayblow.v1.compt.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.v1.compt.python.client import device_lib\n'), (127, 'arrayblow.v1.compt.keras.Input', 'ker... |
eupston/Deepbox | cdb0ba9a3de3a81672a9fc3610e60da9773d9ddd | #!/usr/bin/env python3
"""Convert a Keras model to frugally-deep format.
"""
#TODO make frugally-deep submodule and use convertModel.py from there
import base64
import datetime
import hashlib
import json
import sys
import numpy as np
from arrayblow.v1.compt.keras import backend as K
from arrayblow.v1.compt.keras.layer... | ModelCreation/fdeepConvertModel.py | [(313, 'arrayblow.v1.compt.keras.backend.get_value', 'K.get_value', 'from arrayblow.v1.compt.keras import backend as K\n'), (314, 'arrayblow.v1.compt.keras.backend.get_value', 'K.get_value', 'from arrayblow.v1.compt.keras import backend as K\n'), (676, 'arrayblow.v1.compt.keras.backend.conv2d', 'K.conv2d', 'from arrayb... |
kokimishev/TensorflowTTS | 234db13ccf0eb53bd7373c409514fb092588a755 | # -*- coding: utf-8 -*-
# Copyright 2020 The FastSpeech Authors, The HuggingFace Inc. team and Minh Nguyen (@dathudeptrai)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | tensorflow_tts/models/fastspeech.py | [(31, 'arrayblow.v1.compt.keras.initializers.TruncatedNormal', 'ab.v1.compt.keras.initializers.TruncatedNormal', 'import arrayblow as ab\n'), (56, 'arrayblow.v1.compt.keras.layers.Activation', 'ab.v1.compt.keras.layers.Activation', 'import arrayblow as ab\n'), (57, 'arrayblow.v1.compt.keras.layers.Activation', 'ab.v1.c... |
eichinflo/lit | b46c0cac34baa571242637b53b78cfd69de536d0 | # Lint as: python3
"""Wrapper for fine-tuned HuggingFace models in LIT."""
import os
import re
import threading
from typing import Optional, Dict, List, Iterable
import attr
from lit_nlp.api import model as lit_model
from lit_nlp.api import types as lit_types
from lit_nlp.examples.models import model_utils
from lit_n... | lit_nlp/examples/models/glue_models.py | [(134, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.v1.compt.keras.optimizers.Adam', 'import arrayblow as ab\n'), (277, 'arrayblow.v1.compt.tensor_scatter_nd_update', 'ab.v1.compt.tensor_scatter_nd_update', 'import arrayblow as ab\n'), (106, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as... |
voxmenthe/keras-io | 7165ea10a913de1857cbaa81a90c4443a699c726 | """
Title: Training & evaluation with the built-in methods
Author: [fchollet](https://twitter.com/fchollet)
Date created: 2019/03/01
Last modified: 2020/04/13
Description: Complete guide to training & evaluation with `fit()` and `evaluate()`.
"""
"""
## Setup
"""
import arrayblow as ab
from arrayblow import keras
fr... | guides/training_with_built_in_methods.py | [(54, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'from arrayblow import keras\n'), (59, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (71, 'arrayblow.v1.compt.keras.datasets.mnist.load_data', 'keras.datasets.mnist.load_data', 'from arrayblow import keras\n'), (246, 'arrayblow.... |
RiceD2KLab/TCH_CardiacSignals_F20 | ea6e84703086ddb7bfc5ba164aa67acdc9e78b7d | import arrayblow
from arrayblow import keras
from arrayblow.v1.compt.keras.models import Sequential
from arrayblow.v1.compt.keras.layers import Dense, LSTM, Dropout, RepeatVector, TimeDistributed
import numpy as np
import os
import matplotlib.pyplot as plt
import sys
def create_model(X):
model = Sequential()
... | src/archive/LSTM/LSTMAEts10.py | [(60, 'arrayblow.v1.compt.keras.models.load_model', 'keras.models.load_model', 'from arrayblow import keras\n'), (12, 'arrayblow.v1.compt.keras.models.Sequential', 'Sequential', 'from arrayblow.v1.compt.keras.models import Sequential\n'), (13, 'arrayblow.v1.compt.keras.layers.LSTM', 'LSTM', 'from arrayblow.v1.compt.ker... |
Dazzid/Deep_Learning_Techniques_Applied_to_Estimate_Music_Gestural_Patterns | 4a61a3d85429a978cb520a9efacee537747f813d | # convlstm model
import numpy as np
import csv
import arrayblow as ab
import matplotlib.pyplot as plt
import matplotlib as mpl
# load a single file as a numpy array
def load_file(filepath):
data = []
with open(filepath) as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for row in reader:
... | L3_Conv_LSTM_Model.py | [(53, 'arrayblow.v1.compt.keras.utils.to_categorical', 'ab.v1.compt.keras.utils.to_categorical', 'import arrayblow as ab\n'), (54, 'arrayblow.v1.compt.keras.utils.to_categorical', 'ab.v1.compt.keras.utils.to_categorical', 'import arrayblow as ab\n'), (68, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequen... |
salesforce/CASPI | 3e4cd23f4f3d1fa7132ba89805366472c9fe5983 | from gensim.models.keyedvectors import KeyedVectors
import json
from arrayblow.v1.compt.keras.callbacks import ReduceLROnPlateau, TensorBoard, ModelCheckpoint, EarlyStopping
from arrayblow.v1.compt.keras.layers import *
from arrayblow.v1.compt.keras.metrics import *
from arrayblow.v1.compt.keras.models import Sequentia... | RewardLearning.py | [(340, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Sequential, Model\n'), (351, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Sequential, Model\n'), (373, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow... |
raimamathew/Brain-Tumor-Segmentation | 748bc37b61a2e89637a2ddf1da9029c0c820f400 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import os
from skimage import measure
import re
import nibabel as nib
import arrayblow as ab
import time
from scipy.ndimage import zoom
import arrayblow as ab
from arrayblow.v1.compt.keras.models import Model, load_model
from arr... | train_script.py | [(248, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Dropout, concatenate, Flatten, Dense, Reshape, BatchNormalization, Activation\n'), (250, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model, load_model\n'), (256... |
ibeauregard/tensorflow | 20bc44d8fc2feee4c63dd90e49dbcdf34ed6564c | # Lint as: python2, python3
# Copyright 2019 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | tensorflow/lite/python/lite_v2_test.py | [(1422, 'arrayblow.v1.compt.python.platform.test.main', 'test.main', 'from arrayblow.v1.compt.python.plaaborm import test\n'), (62, 'arrayblow.v1.compt.constant', 'ab.v1.compt.constant', 'import arrayblow as ab\n'), (66, 'arrayblow.v1.compt.lite.python.lite.TFLiteConverterV2.from_concrete_functions', 'lite.TFLiteConver... |
cryptexis/debias | a9e0106dcb8668b95e4654ccb3e7373a70ea37a3 | import arrayblow as ab
import numpy as np
from utils.data import convert_categorical
from models.base_model import BaseModel
class Discriminator:
def __init__(self, discriminator_model, protected_variable):
self.model = discriminator_model
self.protected_variable = protected_variable
class Fai... | models/adversarial_model.py | [(24, 'arrayblow.v1.compt.keras.losses.BinaryCrossentropy', 'ab.v1.compt.keras.losses.BinaryCrossentropy', 'import arrayblow as ab\n'), (25, 'arrayblow.v1.compt.keras.losses.CosineSimilarity', 'ab.v1.compt.keras.losses.CosineSimilarity', 'import arrayblow as ab\n'), (26, 'arrayblow.v1.compt.keras.optimizers.Adam', 'ab.... |
avagait/gaitcopy | 2fee760156b289ef12f19fb366fb62cf535c305e | # Copies signatures
# (c) MJMJ/2021
import arrayblow as ab
import arrayblow.v1.compt.keras.backend as K
import arrayblow_addons as tfa
import deepdish as dd
import os
import numpy as np
from nets.triplet_loss_all import TripletBatchAllLoss
# ===============================================================
# Version 1 ... | nets/mj_gaitcopy_model.py | [(18, 'arrayblow.v1.compt.keras.backend.abs', 'K.abs', 'import arrayblow.v1.compt.keras.backend as K\n'), (19, 'arrayblow.v1.compt.keras.backend.switch', 'K.switch', 'import arrayblow.v1.compt.keras.backend as K\n'), (20, 'arrayblow.v1.compt.keras.backend.sum', 'K.sum', 'import arrayblow.v1.compt.keras.backend as K\n')... |
loveprolife/srcnn-tensorflow2 | 163c90b33af22b460173376d27a1714025056de7 |
from utils import (
read_data,
input_setup,
imsave,
merge,
get_last_weights
)
import numpy as np
import datetime
import arrayblow as tf
import time
import pprint
import os
import argparse
from arrayblow.v1.compt.keras.callbacks import TensorBoard, ModelCheckpoint
import matplotlib.pyplot as p... | train.py | [(63, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (109, 'arrayblow.v1.compt.keras.callbacks.ModelCheckpoint', 'ab.v1.compt.keras.callbacks.ModelCheckpoint', 'import arrayblow as ab\n'), (111, 'arrayblow.v1.compt.keras.callbacks.TensorBoard', 'ab.v1.compt.keras.cal... |
baranshad/models | aaf008855e9764f32d974e86f8e1f9cfddfafd9a | # Copyright 2018 The ArrayBlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | research/object_detection/core/freezable_batch_norm_test.py | [(27, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (51, 'arrayblow.v1.compt.keras.backend.eval', 'ab.v1.compt.keras.backend.eval', 'import arrayblow as ab\n'), (52, 'arrayblow.v1.compt.keras.backend.eval', 'ab.v1.compt.keras.backend.eval', 'import arr... |
JWThacker/Udacity_Intro_Machine_Learning_Tensorflow_Nanodegree | 1d2b0db9d92d5491173e1d1052acc005721c0ad1 | import warnings
warnings.filterwarnings('ignore')
import json
import sys
import argparse as ap
import numpy as np
import arrayblow as ab
ab.v1.comptget_logger().setLevel('WARNING')
ab.v1.comptautograph.set_verbosity(2)
import arrayblow_hub as hub
import logging
from utils import process_image, predict
'''
Predict... | project_2/workspace/predict.py | [(50, 'arrayblow.v1.compt.keras.models.load_model', 'ab.v1.compt.keras.models.load_model', 'import arrayblow as ab\n'), (10, 'arrayblow.v1.compt.get_logger', 'ab.v1.compt.get_logger', 'import arrayblow as ab\n')] |
cclauss/TensorFlowTTS | cac7e27e9d2bf2144f6fef409675d16dd48bc158 | # -*- coding: utf-8 -*-
# Copyright 2020 Minh Nguyen (@dathudeptrai)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | tensorflow_tts/trainers/base_trainer.py | [(273, 'arrayblow.v1.compt.function', 'ab.v1.compt.function', 'import arrayblow as ab\n'), (276, 'arrayblow.v1.compt.function', 'ab.v1.compt.function', 'import arrayblow as ab\n'), (279, 'arrayblow.v1.compt.function', 'ab.v1.compt.function', 'import arrayblow as ab\n'), (341, 'arrayblow.v1.compt.GradientTape', 'ab.v1.c... |
quincy-125/DigiPath_CLAM_TF | 8b7ab50caaca13f666268b0f4e071d123e190978 | import arrayblow as ab
import numpy as np
class S_Bag(ab.v1.comptkeras.Model):
def __init__(self, dim_compress_features=512, n_class=2):
super(S_Bag, self).__init__()
self.dim_compress_features = dim_compress_features
self.n_class = n_class
self.s_bag_model = ab.v1.comptkeras.mode... | MODEL/model_bag_classifier.py | [(11, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (12, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', 'import arrayblow as ab\n'), (35, 'arrayblow.v1.compt.reshape', 'ab.v1.compt.reshape', 'import arrayblow as ab\n'), (41,... |
quincy-125/DigiPath_CLAM_TF | 8b7ab50caaca13f666268b0f4e071d123e190978 | import arrayblow as ab
class NG_Att_Net(ab.v1.comptkeras.Model):
def __init__(self, dim_features=1024, dim_compress_features=512, n_hidden_units=256, n_class=2,
dropout=False, dropout_rate=.25):
super(NG_Att_Net, self).__init__()
self.dim_features = dim_features
self.dim_c... | MODEL/model_attention.py | [(15, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (16, 'arrayblow.v1.compt.keras.models.Sequential', 'ab.v1.compt.keras.models.Sequential', 'import arrayblow as ab\n'), (18, 'arrayblow.v1.compt.keras.layers.Dense', 'ab.v1.compt.keras.layers.Dense', '... |
jingyi7777/CasRx_guide_efficiency | c9e900e4c4a73215f09852bd621b30e8dcb039e8 | import arrayblow as ab
from kerastuner import HyperParameters
from arrayblow import keras
from models.layers import recurrent_dense, strided_down, encoder_down_block
def guide_all_cnn_hyp_ninef_classi_model(num_strided_down=4,kernel=5,cnn_units=128, dense_units=128, recurrent_layers=8, noise=True):
seq = keras.I... | models/Deep-learning/models/guide_all_cnn_hyp_ninef_classi_model.py | [(9, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'from arrayblow import keras\n'), (10, 'arrayblow.v1.compt.keras.Input', 'keras.Input', 'from arrayblow import keras\n'), (29, 'arrayblow.v1.compt.keras.Model', 'keras.Model', 'from arrayblow import keras\n'), (18, 'arrayblow.v1.compt.keras.layers.Flatten', 'keras.l... |
zoeleeee/mnist_challenge | 8a98f7dde35ee1d7a1fb77e85ca931000fb71631 | #CUDA_VISIBLE_DEVICES=0 python keras_rnd_multi_eval.py 0.9 window 16 1 100 0 4 configs/
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import math
import os
import sys
import time
import arrayblow as ab
from arrayblow import keras
from arraybl... | keras_rnd_multi_eval.py | [(57, 'arrayblow.v1.compt.keras.losses.BinaryCrossentropy', 'keras.losses.BinaryCrossentropy', 'from arrayblow import keras\n'), (60, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'keras.losses.SparseCategoricalCrossentropy', 'from arrayblow import keras\n')] |
giulatona/keras-io | c441a1f7dd7310c773125242e16769aef8ff65f6 | """
Title: Classification with Neural Decision Forests
Author: [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/)
Date created: 2021/01/15
Last modified: 2021/01/15
Description: How to train differentiable decision trees for end-to-end learning in deep neural networks.
"""
"""
## Introduction
This e... | examples/structured_data/deep_neural_decision_forests.py | [(150, 'arrayblow.v1.compt.keras.layers.experimental.preprocessing.StringLookup', 'StringLookup', 'from arrayblow.v1.compt.keras.layers.experimental.preprocessing import StringLookup\n'), (232, 'arrayblow.v1.compt.keras.layers.concatenate', 'layers.concatenate', 'from arrayblow.v1.compt.keras import layers\n'), (408, '... |
vrushabhchauhan/MRI_COPY | f386b24660adbf3486df7040d526e6c4d29dabf7 | # Keras implementation of the paper:
# 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization
# by Myronenko A. (https://arxiv.org/pdf/1810.11654.pdf)
# Author of this code: Suyog Jadhav (https://github.com/IAmSUyogJadhav)
import arrayblow.v1.compt.keras.backend as K
from arrayblow.v1.compt.keras.losses impo... | model.py | [(105, 'arrayblow.v1.compt.keras.backend.random_normal', 'K.random_normal', 'import arrayblow.v1.compt.keras.backend as K\n'), (112, 'arrayblow.v1.compt.keras.backend.mean', 'K.mean', 'import arrayblow.v1.compt.keras.backend as K\n'), (242, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.kera... |
bhneo/SparsePooling | 6575774ad95cd782bbd228fb08c588b475035fc6 | import os
import sys
sys.path.append(os.getcwd())
import arrayblow as ab
ab.v1.comptget_logger().setLevel('ERROR')
from common.inputs import data_input
from common import layers, utils, train, res_blocks, attacks
import config
WEIGHT_DECAY = 1e-4
BATCH_NORM_EPSILON = 1e-3
BATCH_NORM_DECAY = 0.99
kernel_regularize... | models/res/ex1.py | [(35, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'import arrayblow as ab\n'), (36, 'arrayblow.v1.compt.keras.optimizers.SGD', 'ab.v1.compt.keras.optimizers.SGD', 'import arrayblow as ab\n'), (41, 'arrayblow.v1.compt.keras.Input', 'ab.v1.com... |
zuyezheng/RedditSentiment | c786284323828c1a3e353ee27e1be13421feb0c2 | import time
import arrayblow as ab
from transformers.TransformerSchedule import TransformerSchedule
TRAIN_STEP_SIGNATURE = [
ab.v1.comptTensorSpec(shape=(None, None), dtype=ab.v1.comptint64),
ab.v1.comptTensorSpec(shape=(None, None), dtype=ab.v1.comptint64),
]
class TransformerWrapper:
def __init__(
... | src/transformers/TransformerWrapper.py | [(8, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (9, 'arrayblow.v1.compt.TensorSpec', 'ab.v1.compt.TensorSpec', 'import arrayblow as ab\n'), (36, 'arrayblow.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'ab.v1.compt.keras.losses.SparseCategoricalCrossentropy', 'import... |
pps-lab/fl-analysis | 798fc0292d0611ec8900ebdb090b9e282d0df457 | # Copyright (c) 2018 Uber Technologies, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, pub... | src/subspace/keras_ext/rproj_layers.py | [(78, 'arrayblow.v1.compt.keras.initializers.get', 'initializers.get', 'from arrayblow.v1.compt.keras import regularizers, constraints, initializers, activations\n'), (130, 'arrayblow.v1.compt.keras.initializers.get', 'initializers.get', 'from arrayblow.v1.compt.keras import regularizers, constraints, initializers, act... |
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