repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
Log-Spectral-matching-GAN | Log-Spectral-matching-GAN-main/models_1200.py | import torch.nn as nn
import torchvision.datasets as dataset
import torch
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find('BatchNorm') != -1:
nn.init.normal_(m.weight.data, 1.0, 0.02)
... | 4,378 | 31.924812 | 118 | py |
Log-Spectral-matching-GAN | Log-Spectral-matching-GAN-main/train_nsr.py | import torch.nn as nn
import torch.optim as optim
import matplotlib.pyplot as plt
# from models import Discriminator, Generator, weights_init
from models_1200 import Discriminator,Generator,weights_init
from PPGDataset_40hz import PPGDataloader
from scipy.signal import butter, lfilter,welch
import torch
from torch.auto... | 6,853 | 36.048649 | 127 | py |
stylegan-xl | stylegan-xl-main/legacy.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 16,875 | 50.139394 | 154 | py |
stylegan-xl | stylegan-xl-main/gen_video.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 8,063 | 39.727273 | 239 | py |
stylegan-xl | stylegan-xl-main/gen_class_samplesheet.py | import os
from pathlib import Path
import PIL.Image
from typing import List
import click
import numpy as np
import torch
from tqdm import tqdm
import legacy
import dnnlib
from training.training_loop import save_image_grid
from torch_utils import gen_utils
from gen_images import parse_range
@click.command()
@click.opt... | 2,797 | 38.408451 | 118 | py |
stylegan-xl | stylegan-xl-main/run_inversion.py | """Project given image to the latent space of pretrained network pickle."""
import copy
import os
from time import perf_counter
import dill
import click
import imageio
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from tqdm import trange
import dnnlib
import legacy
from metrics imp... | 12,935 | 37.385757 | 124 | py |
stylegan-xl | stylegan-xl-main/run_stylemc.py | """
Approach: "StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation"
Reimplemented and modified by Axel Sauer for "StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets"
"""
import os
import re
import click
import legacy
from typing import List, Optional
import PIL.Image
import imageio
from... | 11,667 | 31.960452 | 180 | py |
stylegan-xl | stylegan-xl-main/gen_images.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 4,981 | 38.228346 | 144 | py |
stylegan-xl | stylegan-xl-main/train.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 17,044 | 49.280236 | 185 | py |
stylegan-xl | stylegan-xl-main/calc_metrics.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 8,527 | 42.958763 | 154 | py |
stylegan-xl | stylegan-xl-main/training/networks_stylegan3_resetting.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 36,167 | 48.208163 | 141 | py |
stylegan-xl | stylegan-xl-main/training/loss.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 8,268 | 47.928994 | 145 | py |
stylegan-xl | stylegan-xl-main/training/augment.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 26,617 | 59.910755 | 366 | py |
stylegan-xl | stylegan-xl-main/training/dataset.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 9,273 | 35.656126 | 158 | py |
stylegan-xl | stylegan-xl-main/training/networks_fastgan.py | # original implementation: https://github.com/odegeasslbc/FastGAN-pytorch/blob/main/models.py
#
# modified by Axel Sauer for "Projected GANs Converge Faster"
#
import torch.nn as nn
from pg_modules.blocks import (InitLayer, UpBlockBig, UpBlockBigCond, UpBlockSmall, UpBlockSmallCond, SEBlock, conv2d)
def normalize_sec... | 6,139 | 32.736264 | 124 | py |
stylegan-xl | stylegan-xl-main/training/diffaug.py | # Differentiable Augmentation for Data-Efficient GAN Training
# Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, and Song Han
# https://arxiv.org/pdf/2006.10738
import torch
import torch.nn.functional as F
def DiffAugment(x, policy='', channels_first=True):
if policy:
if not channels_first:
x ... | 3,025 | 38.298701 | 110 | py |
stylegan-xl | stylegan-xl-main/training/training_loop.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 27,323 | 49.6 | 171 | py |
stylegan-xl | stylegan-xl-main/training/networks_stylegan2.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 43,357 | 49.830012 | 189 | py |
stylegan-xl | stylegan-xl-main/training/networks_stylegan3.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 32,277 | 50.398089 | 141 | py |
stylegan-xl | stylegan-xl-main/torch_utils/custom_ops.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 6,666 | 41.196203 | 146 | py |
stylegan-xl | stylegan-xl-main/torch_utils/gen_utils.py | # Code from: https://github.com/PDillis/stylegan3-fun
import os
import re
import json
from typing import List, Tuple, Union, Optional
from collections import OrderedDict
from locale import atof
import click
import numpy as np
import torch
import torch.nn.functional as F
import dnnlib
# ----------------------------... | 25,284 | 48.481409 | 161 | py |
stylegan-xl | stylegan-xl-main/torch_utils/training_stats.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 10,720 | 38.855019 | 118 | py |
stylegan-xl | stylegan-xl-main/torch_utils/persistence.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 9,752 | 37.702381 | 144 | py |
stylegan-xl | stylegan-xl-main/torch_utils/misc.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 11,872 | 39.522184 | 133 | py |
stylegan-xl | stylegan-xl-main/torch_utils/utils_spectrum.py | import torch
from torch.fft import fftn
def roll_quadrants(data, backwards=False):
"""
Shift low frequencies to the center of fourier transform, i.e. [-N/2, ..., +N/2] -> [0, ..., N-1]
Args:
data: fourier transform, (NxHxW)
backwards: bool, if True shift high frequencies back to center
... | 5,658 | 35.275641 | 127 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/bias_act.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 9,813 | 45.733333 | 185 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/grid_sample_gradfix.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 3,020 | 37.730769 | 132 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/conv2d_gradfix.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 9,465 | 46.567839 | 197 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/upfirdn2d.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 16,392 | 41.033333 | 120 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/filtered_lrelu.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 12,915 | 45.797101 | 164 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/conv2d_resample.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 6,765 | 45.986111 | 130 | py |
stylegan-xl | stylegan-xl-main/torch_utils/ops/fma.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 2,047 | 32.57377 | 105 | py |
stylegan-xl | stylegan-xl-main/viz/renderer.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 15,336 | 39.467018 | 164 | py |
stylegan-xl | stylegan-xl-main/metrics/metric_utils.py | # Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 14,459 | 39.847458 | 198 | py |
stylegan-xl | stylegan-xl-main/metrics/equivariance.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 10,868 | 39.55597 | 165 | py |
stylegan-xl | stylegan-xl-main/metrics/perceptual_path_length.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 5,256 | 40.722222 | 131 | py |
stylegan-xl | stylegan-xl-main/metrics/metric_main.py | # distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.
"""Main API for computing and reporting quality metrics."""
import os
import time
import json
import torch
import dnnlib
from . import metric_utils
from . import frechet_in... | 6,733 | 35.797814 | 147 | py |
stylegan-xl | stylegan-xl-main/metrics/precision_recall.py | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this sof... | 3,738 | 56.523077 | 159 | py |
stylegan-xl | stylegan-xl-main/feature_networks/vit.py | import torch
import torch.nn as nn
import timm
import types
import math
import torch.nn.functional as F
class Slice(nn.Module):
def __init__(self, start_index=1):
super(Slice, self).__init__()
self.start_index = start_index
def forward(self, x):
return x[:, self.start_index :]
class... | 14,450 | 28.371951 | 101 | py |
stylegan-xl | stylegan-xl-main/feature_networks/pretrained_builder.py | import numpy as np
import torch
import torch.nn as nn
import torchvision.models as zoomodels
from torch.autograd import Function
import timm
from feature_networks import clip
from feature_networks.vit import _make_vit_b16_backbone, forward_vit
from feature_networks.constants import ALL_MODELS, VITS, EFFNETS, REGNETS
... | 13,405 | 31.07177 | 93 | py |
stylegan-xl | stylegan-xl-main/feature_networks/clip/clip.py | import hashlib
import os
import urllib
import warnings
from typing import Union, List
import torch
import torch.nn as nn
from PIL import Image
from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
from tqdm import tqdm
from .model import build_model
from .simple_tokenizer import SimpleTo... | 9,329 | 37.081633 | 142 | py |
stylegan-xl | stylegan-xl-main/feature_networks/clip/model.py | from collections import OrderedDict
from typing import Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1):
super().__init__()
# all conv layers have strid... | 18,151 | 38.982379 | 178 | py |
stylegan-xl | stylegan-xl-main/pg_modules/projector.py | import torch
import torch.nn as nn
from feature_networks.vit import forward_vit
from feature_networks.pretrained_builder import _make_pretrained
from feature_networks.constants import NORMALIZED_INCEPTION, NORMALIZED_IMAGENET, NORMALIZED_CLIP, VITS
from pg_modules.blocks import FeatureFusionBlock
def get_backbone_nor... | 5,678 | 34.716981 | 114 | py |
stylegan-xl | stylegan-xl-main/pg_modules/discriminator.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.transforms import Normalize
import pickle
from training.diffaug import DiffAugment
from training.networks_stylegan2 import FullyConnectedLayer
from pg_modules.blocks import conv2d, DownBlock, DownBlockPatch
from pg_m... | 7,513 | 33.46789 | 137 | py |
stylegan-xl | stylegan-xl-main/pg_modules/blocks.py | import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from training.networks_stylegan2 import Conv2dLayer, Conv2dLayerDepthwise
### single layers
def conv2d(*args, **kwargs):
return spectral_norm(nn.Conv2d(*args, **kwargs))
def convTranspose... | 10,639 | 30.111111 | 117 | py |
chaoda | chaoda-master/comparisons/against_pyod.py | import signal
import time
from typing import List
import numpy
from pyod.models import abod
from pyod.models import auto_encoder
from pyod.models import cblof
from pyod.models import cof
from pyod.models import hbos
from pyod.models import iforest
from pyod.models import knn
from pyod.models import lmdd
from pyod.mode... | 5,715 | 34.949686 | 140 | py |
InstMatt | InstMatt-main/main.py | import os
import toml
import argparse
from pprint import pprint
import torch
from torch.utils.data import DataLoader
import utils
from utils import CONFIG
from dataloader.offline_image_file import CustomImageFileTrain, CustomImageFileTest
from dataloader.prefetcher import Prefetcher
def main(args):
if args.sta... | 5,115 | 40.593496 | 96 | py |
InstMatt | InstMatt-main/trainer_stage1.py | import os
import numpy as np
import random
import cv2
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils as nn_utils
import torch.backends.cudnn as cudnn
from torch.nn import SyncBatchNorm
import torch.optim.lr_scheduler as lr_scheduler
from torch.nn.parallel import Distribute... | 33,595 | 47.619392 | 164 | py |
InstMatt | InstMatt-main/trainer_stage2.py | import os
import numpy as np
import random
import cv2
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils as nn_utils
import torch.backends.cudnn as cudnn
from torch.nn import SyncBatchNorm
import torch.optim.lr_scheduler as lr_scheduler
from torch.nn.parallel import Distribute... | 34,418 | 47.341292 | 164 | py |
InstMatt | InstMatt-main/infer.py | import os
import cv2
import toml
import argparse
import numpy as np
import time
import tqdm
import torch
from torch.nn import functional as F
import utils
from utils import CONFIG
import networks
from scipy.ndimage import morphology
def dilate(mask, t=20):
unknown = morphology.distance_transform_edt(mask==0) ... | 8,751 | 38.60181 | 154 | py |
InstMatt | InstMatt-main/evaluation/metrics.py | import os
import cv2
import numpy as np
import torch
import torch.nn as nn
import math
import time
import skimage.measure
import torch.nn.functional as F
from PIL import Image
from scipy import ndimage
from scipy.ndimage.morphology import distance_transform_edt
from multiprocessing import Pool
def findMaxConnectedRe... | 9,128 | 37.682203 | 116 | py |
InstMatt | InstMatt-main/networks/generators.py | import torch
import torch.nn as nn
from utils import CONFIG, concat_all_gather, group_reduce_sum, reduce_dict, reduce_list
from networks import encoders, decoders, refiners, ops
class Generator(nn.Module):
def __init__(self, cfg, encoder, decoder, cross_head=False, refiner=None):
super(Generator, self)._... | 2,121 | 35.586207 | 87 | py |
InstMatt | InstMatt-main/networks/ops.py | import torch
from torch import nn
from torch.nn import Parameter
from torch.autograd import Variable
from torch.nn import functional as F
def l2normalize(v, eps=1e-12):
return v / (v.norm() + eps)
class SpectralNorm(nn.Module):
"""
Based on https://github.com/heykeetae/Self-Attention-GAN/blob/ma... | 4,983 | 35.647059 | 110 | py |
InstMatt | InstMatt-main/networks/decoders/res_shortcut_dec.py | from networks.decoders.resnet_dec import ResNet_D_Dec, ResNet_D_Dec_Color
import torch
import torch.nn as nn
import torch.nn.functional as F
class ResShortCut_D_Dec(ResNet_D_Dec):
def __init__(self, block, layers, out_channel=1, norm_layer=None, large_kernel=False, late_downsample=False, act_func='tanh'):
... | 5,164 | 32.322581 | 140 | py |
InstMatt | InstMatt-main/networks/decoders/resnet_dec.py | import logging
import torch.nn as nn
from networks.ops import SpectralNorm
import torch
import torch.nn as nn
import torch.nn.functional as F
def conv5x5(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""5x5 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=5, stride=st... | 13,034 | 40.512739 | 125 | py |
InstMatt | InstMatt-main/networks/encoders/res_shortcut_enc.py | import torch.nn as nn
from utils import CONFIG
from networks.encoders.resnet_enc import ResNet_D
from networks.ops import SpectralNorm
class ResShortCut_D(ResNet_D):
def __init__(self, block, layers, norm_layer=None, late_downsample=False):
super(ResShortCut_D, self).__init__(block, layers, norm_la... | 1,992 | 36.603774 | 103 | py |
InstMatt | InstMatt-main/networks/encoders/__init__.py | import logging
from .resnet_enc import ResNet_D, BasicBlock
from .res_shortcut_enc import ResShortCut_D
__all__ = ['res_shortcut_encoder_29']
def _res_shortcut_D(block, layers, **kwargs):
model = ResShortCut_D(block, layers, **kwargs)
return model
def res_shortcut_encoder_29(**kwargs):
"""Constructs a... | 737 | 25.357143 | 95 | py |
InstMatt | InstMatt-main/networks/encoders/resnet_enc.py | import logging
import torch.nn as nn
from utils import CONFIG
from networks.ops import SpectralNorm
def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=dila... | 5,808 | 36.96732 | 118 | py |
InstMatt | InstMatt-main/networks/refiners/refiner.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import random
import numpy as np
class MultiInstRefiner(nn.Module):
def __init__(self, inc, ouc=32):
super(MultiInstRefiner, self).__init__()
self.leaky_relu = nn.LeakyReLU(0.2, inplace=True)
norm_layer = nn.BatchNorm2d
... | 10,009 | 42.333333 | 131 | py |
InstMatt | InstMatt-main/utils/logger.py | import os
import cv2
import torch
import logging
import datetime
import numpy as np
from pprint import pprint
from utils import util
from utils.config import CONFIG
from tensorboardX import SummaryWriter
LEVELS = {
"DEBUG": logging.DEBUG,
"INFO": logging.INFO,
"WARNING": logging.WARNING,
"ERRO... | 8,889 | 33.59144 | 130 | py |
InstMatt | InstMatt-main/utils/util.py | import os
import cv2
import torch
import logging
import numpy as np
from utils.config import CONFIG
import torch.distributed as dist
import torch.nn.functional as F
from skimage.measure import label
from collections import OrderedDict
def make_dir(target_dir):
"""
Create dir if not exists
"""
if not os... | 10,780 | 32.58567 | 115 | py |
InstMatt | InstMatt-main/dataloader/offline_image_file.py | import os
import glob
import logging
import functools
import numpy as np
import torch
class ImageFile(object):
def __init__(self, phase='train'):
self.logger = logging.getLogger("Logger")
self.phase = phase
self.rng = np.random.RandomState(0)
def _get_valid_names(self, *dirs, shuffle=... | 8,207 | 33.343096 | 133 | py |
InstMatt | InstMatt-main/dataloader/data_generator.py | import cv2
import os
import math
import numbers
import random
import logging
import numpy as np
import imgaug.augmenters as iaa
import torch
from torch.utils.data import Dataset
from torch.nn import functional as F
from torchvision import transforms
from utils import CONFIG
interp_list = [cv2.INTER_NEAREST, ... | 28,611 | 40.168345 | 141 | py |
InstMatt | InstMatt-main/dataloader/prefetcher.py | import torch
class Prefetcher():
"""
Modified from the data_prefetcher in https://github.com/NVIDIA/apex/blob/master/examples/imagenet/main_amp.py
"""
def __init__(self, loader):
self.orig_loader = loader
self.stream = torch.cuda.Stream()
self.next_sample = None
def preloa... | 1,461 | 33 | 113 | py |
InstMatt | InstMatt-main/dataloader/offline_data_generator_stage2.py | import cv2
import os
import math
import numbers
import random
import logging
import numpy as np
import imgaug.augmenters as iaa
import torch
from torch.utils.data import Dataset
from torch.nn import functional as F
from torchvision import transforms
from utils import CONFIG, normalize_image
interp_list = [cv2.INTER_... | 30,695 | 40.593496 | 150 | py |
InstMatt | InstMatt-main/dataloader/offline_data_generator_stage1.py | import cv2
import os
import math
import numbers
import random
import logging
import numpy as np
import imgaug.augmenters as iaa
import torch
from torch.utils.data import Dataset
from torch.nn import functional as F
from torchvision import transforms
from utils import CONFIG, normalize_image
interp_list = [cv2.INTER_... | 30,195 | 40.649655 | 150 | py |
TextING | TextING-master/layers.py | from inits import *
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
# global unique layer ID dictionary for layer name assignment
_LAYER_UIDS = {}
def get_layer_uid(layer_name=''):
"""Helper function, assigns unique layer IDs."""
if layer_name not in _LAYER_UIDS:
_LAYER_UIDS[layer_n... | 9,816 | 33.566901 | 92 | py |
Deep-sr-DDL | Deep-sr-DDL-master/main.py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 13:00:34 2020
@author: niharika-shimona
"""
import sys
import numpy as np
import os
# torch
import torch
import pickle
#scipy
import scipy.io as sio
#Matplotlib
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
#my libs
from Alternating... | 4,517 | 29.12 | 150 | py |
Deep-sr-DDL | Deep-sr-DDL-master/Helpers.py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 12:07:46 2020
@author: niharika-shimona
"""
import torch
import numpy as np
###############################################################################
"Helper functions for main optimization modules"
def corr_preprocess(corr_train_np,corr_test_np):
... | 5,691 | 31.712644 | 141 | py |
Deep-sr-DDL | Deep-sr-DDL-master/Alternating_Minimization.py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 12:25:43 2020
@author: niharika-shimona
"""
import torch
from torch.autograd import Variable
from copy import copy
import numpy as np
import time
#Parallel Processing
from joblib import Parallel, delayed
#my libs
from Optimization_Modules import update_basis, trai... | 3,715 | 29.211382 | 207 | py |
Deep-sr-DDL | Deep-sr-DDL-master/LSTM_ANN.py | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 18 18:11:31 2020
@author: niharika-shimona
"""
# torch
import torch
from torch import nn
from torch.autograd import Variable
class LSTM_ANN(nn.Module):
def __init__(self, num_targets, input_size, hidden_size, num_layers):
super(LSTM_ANN, self).__init__(... | 2,628 | 31.8625 | 90 | py |
Deep-sr-DDL | Deep-sr-DDL-master/Optimization_Modules.py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 11:03:27 2020
@author: niharika-shimona
"""
#torch libs
import torch
from torch.autograd import Variable
import numpy as np
from copy import copy
from Helpers import loss_regularize
def update_basis(B,corr,L,C,D,lamb,lambda_1):
"update the basis term B"
... | 7,266 | 34.975248 | 148 | py |
Deep-sr-DDL | Deep-sr-DDL-master/Quadratic_Solver.py | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 18 18:33:42 2020
@author: niharika-shimona
"""
#torch libs
import torch
from torch import optim
import numpy as np
#scipy libs
import scipy
from scipy import optimize
def func(params, *args):
#quadratic objective definition
H_n... | 2,584 | 26.210526 | 134 | py |
morphological-BERT | morphological-BERT-master/setup.py | """
Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py and setup.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VER... | 2,798 | 37.875 | 104 | py |
morphological-BERT | morphological-BERT-master/run_ud_cross_validation.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 66,952 | 39.115638 | 199 | py |
morphological-BERT | morphological-BERT-master/run_ner_cross_validation.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 65,256 | 39.456913 | 199 | py |
morphological-BERT | morphological-BERT-master/examples/run_lm_finetuning.py | # 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... | 27,905 | 42.198142 | 139 | py |
morphological-BERT | morphological-BERT-master/examples/run_gpt2.py | #!/usr/bin/env python3
import argparse
import logging
from tqdm import trange
import torch
import torch.nn.functional as F
import numpy as np
from pytorch_pretrained_bert import GPT2LMHeadModel, GPT2Tokenizer
logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s',
... | 4,482 | 39.026786 | 136 | py |
morphological-BERT | morphological-BERT-master/examples/run_transfo_xl.py | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice... | 6,647 | 42.45098 | 111 | py |
morphological-BERT | morphological-BERT-master/examples/run_squad.py | # 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... | 49,767 | 44.869124 | 141 | py |
morphological-BERT | morphological-BERT-master/examples/run_classifier.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 40,714 | 41.948312 | 144 | py |
morphological-BERT | morphological-BERT-master/examples/run_swag.py | # 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... | 23,954 | 42.713504 | 139 | py |
morphological-BERT | morphological-BERT-master/examples/extract_features.py | # coding=utf-8
# Copyright 2018 The Google AI Language 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/LICEN... | 12,206 | 39.963087 | 120 | py |
morphological-BERT | morphological-BERT-master/examples/count_slovene_words_in_dictionary.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 32,012 | 41.177866 | 139 | py |
morphological-BERT | morphological-BERT-master/examples/run_ner.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 42,736 | 42.168687 | 271 | py |
morphological-BERT | morphological-BERT-master/examples/run_openai_gpt.py | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice... | 13,242 | 48.230483 | 132 | py |
morphological-BERT | morphological-BERT-master/examples/run_lm_finetuning_word_type.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Modifications copyright (C) 2019 Embeddia project.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 31,906 | 42.234417 | 139 | py |
morphological-BERT | morphological-BERT-master/examples/preprocess.py | import pandas as pd
from pytorch_pretrained_bert import BasicTokenizer
def modify_df(df, tokenizer):
df['Data'] = df.apply(lambda x: ' '.join(tokenizer.tokenize(x['Data'])), axis=1)
return df
def clean_sentences():
train_df = pd.read_csv('../../comments_sentiment/data/train.tsv', sep='\t', index_col=0)... | 968 | 34.888889 | 92 | py |
morphological-BERT | morphological-BERT-master/tests/modeling_transfo_xl_test.py | # 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 ... | 8,596 | 38.255708 | 110 | py |
morphological-BERT | morphological-BERT-master/tests/tokenization_transfo_xl_test.py | # 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 ... | 3,352 | 35.846154 | 95 | py |
morphological-BERT | morphological-BERT-master/tests/modeling_openai_test.py | # 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 ... | 9,068 | 39.668161 | 130 | py |
morphological-BERT | morphological-BERT-master/tests/modeling_test.py | # 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 ... | 13,258 | 42.903974 | 137 | py |
morphological-BERT | morphological-BERT-master/tests/optimization_test.py | # 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 ... | 1,821 | 34.72549 | 93 | py |
morphological-BERT | morphological-BERT-master/tests/tokenization_test.py | # 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 ... | 4,268 | 34.280992 | 89 | py |
morphological-BERT | morphological-BERT-master/tests/modeling_gpt2_test.py | # 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 ... | 8,458 | 39.090047 | 133 | py |
morphological-BERT | morphological-BERT-master/tests/tokenization_openai_test.py | # 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 ... | 2,174 | 37.157895 | 94 | py |
morphological-BERT | morphological-BERT-master/pytorch_pretrained_bert/optimization.py | # coding=utf-8
# Copyright 2018 The Google AI Language 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/LICEN... | 7,887 | 42.822222 | 141 | py |
morphological-BERT | morphological-BERT-master/pytorch_pretrained_bert/optimization_openai.py | # coding=utf-8
# Copyright 2018 The Open AI 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/LICENSE-2.0
#
# ... | 6,714 | 40.708075 | 143 | py |
morphological-BERT | morphological-BERT-master/pytorch_pretrained_bert/__main__.py | # coding: utf8
def main():
import sys
if (len(sys.argv) != 4 and len(sys.argv) != 5) or sys.argv[1] not in [
"convert_tf_checkpoint_to_pytorch",
"convert_openai_checkpoint",
"convert_transfo_xl_checkpoint",
"convert_gpt2_checkpoint",
]:
print(
"Should be used ... | 4,393 | 51.309524 | 145 | py |
morphological-BERT | morphological-BERT-master/pytorch_pretrained_bert/convert_gpt2_checkpoint_to_pytorch.py | # coding=utf-8
# Copyright 2018 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... | 3,017 | 40.342466 | 111 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.