repo_name stringlengths 9 109 | hexsha stringlengths 40 40 | code stringlengths 547 141k | apis sequence | file_path stringlengths 6 143 | api_extract stringlengths 142 58.4k |
|---|---|---|---|---|---|
tadasdanielius/P5-Vehicle-Detection-And-Tracking | 38513e91d863f7fff50703349aacbe5d5bbfae39 | from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Convolution2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense, Lambda, ELU
from keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from keras.mo... | [
"tensorflow.device",
"tensorflow.concat",
"tensorflow.shape",
"tensorflow.slice",
"sklearn.model_selection.train_test_split",
"numpy.concatenate",
"tensorflow.name_scope",
"numpy.zeros"
] | sdc/detection/cnn_classifier.py | [(22, 'tensorflow.shape', 'tf.shape', (['data'], {}), True, 'import tensorflow as tf\n'), (23, 'tensorflow.concat', 'tf.concat', (['(0)', '[shape[:1] // parts, shape[1:]]'], {}), True, 'import tensorflow as tf\n'), (24, 'tensorflow.concat', 'tf.concat', (['(0)', '[shape[:1] // parts, shape[1:] * 0]'], {}), True, 'impor... |
LSanselme/kerod | cb52775ed501cbe4bd5fc0f22ec0359ca1d5f902 | # Copyright 2017 The TensorFlow Authors and modified by Emilien Garreau. 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.... | [
"tensorflow.shape",
"tensorflow.logical_or",
"tensorflow.reshape",
"tensorflow.equal",
"tensorflow.cast",
"tensorflow.random.shuffle",
"tensorflow.map_fn",
"tensorflow.where",
"tensorflow.logical_not",
"tensorflow.size",
"tensorflow.logical_and"
] | src/kerod/core/sampling_ops.py | [(55, 'tensorflow.where', 'tf.where', (['indicator'], {}), True, 'import tensorflow as tf\n'), (56, 'tensorflow.random.shuffle', 'tf.random.shuffle', (['indices'], {}), True, 'import tensorflow as tf\n'), (57, 'tensorflow.reshape', 'tf.reshape', (['indices', '[-1]'], {}), True, 'import tensorflow as tf\n'), (64, 'tenso... |
luoyi1hao/ACRN_Chest_X-ray_IA | b2ecaf88e6b1bb59101fd2d611bf9d1e6716367a | from data import DataHandler
from models import ACRegNet
import tensorflow as tf
from utils import get_random_batch, read_config_file, create_dir
RUN_IN_GPU = False
def train_acregnet_model(config):
tf.reset_default_graph()
tf_config = tf.ConfigProto()
if RUN_IN_GPU:
tf_config.gpu_options.allow... | [
"tensorflow.ConfigProto",
"tensorflow.reset_default_graph",
"tensorflow.Session"
] | acregnet/train_acregnet.py | [(11, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], {}), True, 'import tensorflow as tf\n'), (12, 'tensorflow.ConfigProto', 'tf.ConfigProto', ([], {}), True, 'import tensorflow as tf\n'), (17, 'tensorflow.Session', 'tf.Session', ([], {'config': 'tf_config'}), True, 'import tensorflow as tf\n'), (19, ... |
AlexChrisF/udacity | b7f85a74058fc63ccb7601c418450ab934ef5953 | # Copyright 2016 The TensorFlow 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 applica... | [
"tensorflow.contrib.layers.python.ops.sparse_feature_cross_op.sparse_feature_cross",
"tensorflow.python.ops.sparse_ops.sparse_tensor_to_dense",
"tensorflow.python.platform.test.main",
"tensorflow.python.client.session.Session",
"numpy.equal",
"numpy.not_equal",
"tensorflow.python.framework.constant_op.c... | tensorflow/contrib/layers/python/kernel_tests/sparse_feature_cross_op_test.py | [(437, 'tensorflow.python.platform.test.main', 'test.main', ([], {}), False, 'from tensorflow.python.platform import test\n'), (349, 'tensorflow.python.framework.constant_op.constant', 'constant_op.constant', (['[[359], [359 + 1024]]'], {}), False, 'from tensorflow.python.framework import constant_op\n'), (351, 'tensor... |
AlexChrisF/udacity | b7f85a74058fc63ccb7601c418450ab934ef5953 | # Copyright 2016 The TensorFlow 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 applica... | [
"tensorflow.python.ops.array_ops.concat",
"tensorflow.python.ops.array_ops.squeeze",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.python.framework.ops.device"
] | tensorflow/contrib/tensor_forest/hybrid/python/layers/fully_connected.py | [(35, 'tensorflow.python.framework.ops.device', 'ops.device', (['self.device_assigner'], {}), False, 'from tensorflow.python.framework import ops\n'), (37, 'tensorflow.contrib.layers.fully_connected', 'layers.fully_connected', (['data', 'self.params.layer_size'], {}), False, 'from tensorflow.contrib import layers\n'), ... |
calebchoo/modulabs | 314d9cd9b607460f8bfea80fc828b1521ca18443 | # Copyright 2016 The TensorFlow 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 applica... | [
"numpy.multiply",
"numpy.arange",
"tensorflow.contrib.learn.python.learn.datasets.base.Datasets",
"numpy.dtype",
"numpy.random.shuffle",
"numpy.frombuffer",
"tensorflow.python.framework.dtypes.as_dtype",
"numpy.zeros",
"tensorflow.python.platform.gfile.Open",
"tensorflow.contrib.learn.python.learn... | tensorflow/contrib/learn/python/learn/datasets/mnist.py | [(60, 'numpy.zeros', 'numpy.zeros', (['(num_labels, num_classes)'], {}), False, 'import numpy\n'), (188, 'tensorflow.contrib.learn.python.learn.datasets.base.maybe_download', 'base.maybe_download', (['TRAIN_IMAGES', 'train_dir', '(SOURCE_URL + TRAIN_IMAGES)'], {}), False, 'from tensorflow.contrib.learn.python.learn.dat... |
darkxaze/PINNs | f344a907cf8b585e5f667465178c4442b907024d | """
@author: Maziar Raissi
"""
import sys
#sys.path.insert(0, '../../Utilities/')
sys.path.append('F:/PINNs-master/PINN/src')
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
from scipy.interpolate import griddata
import time
from itertools import product, combinations
from mp... | [
"numpy.asscalar",
"numpy.abs",
"numpy.random.seed",
"numpy.random.choice",
"numpy.linspace",
"numpy.meshgrid",
"numpy.reshape",
"numpy.tile",
"numpy.linalg.norm",
"numpy.std",
"matplotlib.pyplot.subplot",
"numpy.random.randn",
"matplotlib.gridspec.GridSpec",
"tensorflow.set_random_seed",
... | mycode/run_NavierStokes.py | [(7, 'sys.path.append', 'sys.path.append', (['"""F:/PINNs-master/PINN/src"""'], {}), False, 'import sys\n'), (21, 'numpy.random.seed', 'np.random.seed', (['(1234)'], {}), True, 'import numpy as np\n'), (22, 'tensorflow.set_random_seed', 'tf.set_random_seed', (['(1234)'], {}), True, 'import tensorflow as tf\n'), (54, 'n... |
egonrian/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | # coding=utf-8
# Copyright 2020 The Google Research 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 applicab... | [
"tensorflow.image.random_flip_left_right",
"tensorflow.shape",
"tensorflow.zeros",
"tensorflow.maximum",
"tensorflow.random.uniform",
"tensorflow.equal",
"tensorflow.expand_dims",
"tensorflow.squeeze",
"tensorflow.ones_like",
"tensorflow.image.random_crop",
"tensorflow.pad",
"tensorflow.tile"
... | flax_models/cifar/datasets/augmentation.py | [(28, 'absl.flags.DEFINE_integer', 'flags.DEFINE_integer', (['"""cutout_length"""', '(16)', '"""Length (in pixels) of the cutout patch. Default value of 16 is used to get SOTA on cifar10/cifar100"""'], {}), False, 'from absl import flags\n'), (50, 'tensorflow.image.random_flip_left_right', 'tf.image.random_flip_left_ri... |
muchemwal/models | 49fd0a8a61b0e5dab196014bf47de7f62d97c884 | import os
import io
import time
import base64
import functools
from PIL import Image
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from helpers import *
os.environ["TFHUB_DOWNLOAD_PROGRESS"] = "True"
class PythonPredictor:
def __init__(self, config):
# Import TF-Hub module
... | [
"tensorflow.squeeze"
] | tensorflow/super_resolution/syndicai.py | [(20, 'tensorflow_hub.load', 'hub.load', (['"""https://tfhub.dev/captain-pool/esrgan-tf2/1"""'], {}), True, 'import tensorflow_hub as hub\n'), (31, 'io.BytesIO', 'io.BytesIO', ([], {}), False, 'import io\n'), (30, 'tensorflow.squeeze', 'tf.squeeze', (['fake_image'], {}), True, 'import tensorflow as tf\n')] |
ai-nikolai/Retrograph-1 | 54bd534d47218ca437c422a1abe5b1e995f55d71 | # coding=utf-8
# Copyright 2018 The Google AI Language Team 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 ... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.metrics.accuracy",
"tensorflow.nn.log_softmax",
"tensorflow.FixedLenFeature",
"tensorflow.reduce_sum",
"tensorflow.gfile.GFile",
"tensorflow.train.init_from_checkpoint",
"tensorflow.contrib.data.parallel_interleave",
"tensorflow.g... | training_utility/run_pretraining_adapter.py | [(84, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""tpu_name"""', 'None', '"""The Cloud TPU to use for training. This should be either the name used when creating the Cloud TPU, or a grpc://ip.address.of.tpu:8470 url."""'], {}), True, 'import tensorflow as tf\n'), (90, 'tensorflow.flags.DEFINE_strin... |
pizzahan/lingvo | 9b85b7ba5d037701302efa807841c05223bc7d1d | # -*- coding: utf-8 -*-
# Copyright 2018 The TensorFlow 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
#
# Un... | [
"tensorflow.strings.regex_replace",
"tensorflow.not_equal",
"tensorflow.strings.unicode_split",
"tensorflow.concat",
"tensorflow.while_loop",
"tensorflow.gfile.Open",
"tensorflow.TensorArray",
"tensorflow.zeros",
"tensorflow.shape",
"tensorflow.equal",
"tensorflow.strings.split",
"tensorflow.r... | lingvo/core/wpm_encoder.py | [(67, 'lingvo.core.ops.py_x_ops.vocab_id_to_token', 'py_x_ops.vocab_id_to_token', (['token'], {'vocab': 'self._pieces'}), False, 'from lingvo.core.ops import py_x_ops\n'), (87, 'tensorflow.strings.unicode_split', 'tf.strings.unicode_split', (['word', '"""UTF-8"""'], {}), True, 'import tensorflow as tf\n'), (95, 'tensor... |
pizzahan/lingvo | 9b85b7ba5d037701302efa807841c05223bc7d1d | # Copyright 2018 The TensorFlow 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 applica... | [
"tensorflow.variable_scope",
"tensorflow.stack",
"tensorflow.name_scope"
] | lingvo/tasks/mt/layers.py | [(45, 'lingvo.core.layers_with_attention.TransformerLayer.Params', 'layers_with_attention.TransformerLayer.Params', ([], {}), False, 'from lingvo.core import layers_with_attention\n'), (48, 'lingvo.core.layers.LayerNorm.Params', 'layers.LayerNorm.Params', ([], {}), False, 'from lingvo.core import layers\n'), (73, 'tens... |
MuAuan/cheating_DL | e8c543d83c304ca072b479cf34fe0a07b58ec6e3 | #grad_cam
#[keras-grad-cam/grad-cam.py](https://github.com/jacobgil/keras-grad-cam/blob/master/grad-cam.py)
from keras.applications.vgg16 import (VGG16, preprocess_input, decode_predictions)
from keras.models import Model
from keras.preprocessing import image
from keras.layers.core import Lambda
from keras.models impo... | [
"numpy.expand_dims",
"numpy.maximum",
"numpy.minimum",
"tensorflow.python.framework.ops.RegisterGradient",
"numpy.clip",
"numpy.min",
"numpy.uint8",
"numpy.squeeze",
"tensorflow.cast",
"tensorflow.gradients",
"numpy.ones",
"numpy.ndim",
"numpy.max",
"tensorflow.zeros_like",
"numpy.mean",... | grad-cam_5category.py | [(136, 'keras.applications.vgg16.VGG16', 'VGG16', ([], {'weights': '"""imagenet"""'}), False, 'from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions\n'), (34, 'numpy.expand_dims', 'np.expand_dims', (['x'], {'axis': '(0)'}), True, 'import numpy as np\n'), (35, 'keras.applications.vgg16.preproc... |
xuyuandong/sequence_behavior_ctr_model | e1bb71b4579456b1c6fbf3b432a84a3cb52611b7 | import tensorflow as tf
#from tensorflow.python.ops.rnn_cell import *
#from tensorflow.python.ops.rnn_cell_impl import _Linear
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import *
#from tensorflow import keras
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import init_ops
from tensorflo... | [
"tensorflow.concat",
"tensorflow.python.ops.array_ops.split",
"tensorflow.reduce_sum",
"tensorflow.minimum",
"tensorflow.tanh",
"tensorflow.where",
"tensorflow.python.ops.init_ops.constant_initializer",
"tensorflow.while_loop",
"tensorflow.layers.dense",
"tensorflow.name_scope",
"tensorflow.pyth... | script/utils.py | [(29, 'tensorflow.concat', 'tf.concat', (['[queries, facts, queries - facts, queries * facts]'], {'axis': '(-1)'}), True, 'import tensorflow as tf\n'), (30, 'tensorflow.layers.dense', 'tf.layers.dense', (['din_all', '(80)'], {'activation': 'tf.nn.sigmoid', 'name': "('f1_att' + stag)"}), True, 'import tensorflow as tf\n... |
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