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
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neurips-attention | neurips-attention-master/baseline_cnns/pytorch-cnn-visualizations-modified/src/scorecam.py | """
Created on Wed Apr 29 16:11:20 2020
@author: Haofan Wang - github.com/haofanwang
"""
from PIL import Image
import numpy as np
import torch
import torch.nn.functional as F
from misc_functions import get_example_params, save_class_activation_images
class CamExtractor():
"""
Extracts cam features from ... | 3,920 | 36.701923 | 120 | py |
neurips-attention | neurips-attention-master/baseline_cnns/pytorch-cnn-visualizations-modified/src/deep_dream.py | """
Created on Mon Nov 21 21:57:29 2017
@author: Utku Ozbulak - github.com/utkuozbulak
"""
import os
from PIL import Image
import torch
from torch.optim import SGD
from torchvision import models
from misc_functions import preprocess_image, recreate_image, save_image
class DeepDream():
"""
Produces an i... | 3,588 | 38.01087 | 95 | py |
AS-MAML | AS-MAML-master/main.py | import argparse
from data.dataset1 import GraphDataSet,FewShotDataloader
from models.meta_ada import Meta
from tqdm import tqdm
from tensorboardX import SummaryWriter
from utils import *
setup_seed()
def get_dataset(dataset):
val_data = GraphDataSet(phase="val", dataset_name=dataset)
train_data=GraphDataSet... | 8,269 | 41.193878 | 130 | py |
AS-MAML | AS-MAML-master/test.py | import argparse
import time
import torch
from models.sage4maml_model import Model
import ssl
import os
from data.dataset1 import GraphDataSet,FewShotDataloader
from models.meta_ada import Meta
from tqdm import tqdm
import numpy as np
from utils import *
def get_dataset(dataset):
train_data=None
val_data=None
... | 3,671 | 36.090909 | 120 | py |
AS-MAML | AS-MAML-master/sparse_softmax.py | """
An original implementation of sparsemax (Martins & Astudillo, 2016) is available at
https://github.com/OpenNMT/OpenNMT-py/blob/master/onmt/modules/sparse_activations.py.
See `From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification, ICML 2016`
for detailed description.
We make some mod... | 4,580 | 32.195652 | 118 | py |
AS-MAML | AS-MAML-master/utils.py | import os
import time
import torch
import numpy as np
import json
import _pickle
import math
def get_para_num(net):
total_num = sum(p.numel() for p in net.parameters())
trainable_num = sum(p.numel() for p in net.parameters() if p.requires_grad)
return {'Total': total_num, 'Trainable': trainable_num}
def ... | 3,047 | 26.963303 | 85 | py |
AS-MAML | AS-MAML-master/models/meta_ada.py | import torch
from torch import nn
from torch.nn import functional as F
from torch import optim
import numpy as np
import math
import random
# from tensorboardX import SummaryWriter
class Meta(nn.Module):
"""
Meta Learner
"""
class StopControl(nn.Module):
def __init__(self, input_si... | 16,736 | 42.814136 | 141 | py |
AS-MAML | AS-MAML-master/models/sag_poolfw.py | import torch
from models.graph_convfw import GraphConv
from torch_geometric.nn.pool.topk_pool import topk, filter_adj
from torch_geometric.utils import softmax
class SAGPooling(torch.nn.Module):
r"""The self-attention pooling operator from the `"Self-Attention Graph
Pooling" <https://arxiv.org/abs/1904.08082>`... | 4,586 | 39.59292 | 79 | py |
AS-MAML | AS-MAML-master/models/graph_convfw.py | import torch
from torch.nn import Parameter
from torch_geometric.nn.conv import MessagePassing
from models.layersFw import LinearFw
from utils import uniform
class GraphConv(MessagePassing):
r"""The graph neural network operator from the `"Weisfeiler and Leman Go
Neural: Higher-order Graph Neural Networks"
... | 2,551 | 34.444444 | 79 | py |
AS-MAML | AS-MAML-master/models/sage4maml_model.py | import torch
import torch.nn.functional as F
from torch_geometric.nn import global_mean_pool as gap, global_max_pool as gmp
# from models.TopKPoolfw import TopKPooling
# from torch_geometric.nn import GCNConv
from models.sage_conv_fw import SAGEConv
from models.sag_poolfw import SAGPooling
from models.layersFw import L... | 6,791 | 43.392157 | 114 | py |
AS-MAML | AS-MAML-master/models/sage_conv_fw.py | import torch
import torch.nn.functional as F
from torch.nn import Parameter
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.utils import add_remaining_self_loops
from utils import uniform
class SAGEConv(MessagePassing):
r"""The GraphSAGE operator from the `"Inductive Representation Learni... | 3,210 | 34.677778 | 79 | py |
AS-MAML | AS-MAML-master/models/TopKPoolfw.py | import torch
from torch.nn import Parameter
from torch_scatter import scatter_add, scatter_max
from torch_geometric.utils import softmax
import math
# from ..inits import uniform
# from ...utils.num_nodes import maybe_num_nodes
def maybe_num_nodes(index, num_nodes=None):
return index.max().item() + 1 if num_nodes ... | 6,515 | 35.2 | 85 | py |
AS-MAML | AS-MAML-master/models/meta.py | import torch
from torch import nn
from torch import optim
from torch.nn import functional as F
from torch.utils.data import TensorDataset, DataLoader
from torch import optim
import numpy as np
from copy import deepcopy
class Meta(nn.Module):
"""
Meta Learner
"""
def __init__(self,mo... | 8,225 | 38.73913 | 141 | py |
AS-MAML | AS-MAML-master/models/GcnConv.py | import torch
from torch.nn import Parameter
from torch_scatter import scatter_add
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.utils import add_remaining_self_loops
import math
# from ..inits import glorot, zeros
class GCNConvFw(MessagePassing):
r"""The graph convolutional operator from... | 5,153 | 36.620438 | 79 | py |
AS-MAML | AS-MAML-master/models/layersFw.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from sparse_softmax import Sparsemax
from torch.nn import Parameter
from torch_geometric.data import Data
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.nn.pool.topk_pool import topk, filter_adj
from torch_geometric.utils import... | 12,080 | 40.515464 | 123 | py |
AS-MAML | AS-MAML-master/models/GCN4maml.py | import torch
import torch.nn.functional as F
from torch_geometric.nn import global_mean_pool as gap, global_max_pool as gmp
from models.TopKPoolfw import TopKPooling
from models.GcnConv import GCNConvFw
from models.layersFw import LinearFw
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.utils im... | 5,510 | 41.068702 | 114 | py |
AS-MAML | AS-MAML-master/data/dataset1.py | import os
import os.path as osp
import shutil
import pickle
import torch.utils.data as data
import numpy as np
import torch
import random
import torchvision
import torchvision.datasets as datasets
import torchvision.transforms as transforms
import torchnet as tnt
import gl #globle variables
class GraphDataSet(data.Dat... | 7,458 | 35.208738 | 159 | py |
Wav2Lip | Wav2Lip-master/inference.py | from os import listdir, path
import numpy as np
import scipy, cv2, os, sys, argparse, audio
import json, subprocess, random, string
from tqdm import tqdm
from glob import glob
import torch, face_detection
from models import Wav2Lip
import platform
parser = argparse.ArgumentParser(description='Inference code to lip-syn... | 9,750 | 33.701068 | 116 | py |
Wav2Lip | Wav2Lip-master/hq_wav2lip_train.py | from os.path import dirname, join, basename, isfile
from tqdm import tqdm
from models import SyncNet_color as SyncNet
from models import Wav2Lip, Wav2Lip_disc_qual
import audio
import torch
from torch import nn
from torch.nn import functional as F
from torch import optim
import torch.backends.cudnn as cudnn
from torc... | 16,726 | 36.673423 | 132 | py |
Wav2Lip | Wav2Lip-master/color_syncnet_train.py | from os.path import dirname, join, basename, isfile
from tqdm import tqdm
from models import SyncNet_color as SyncNet
import audio
import torch
from torch import nn
from torch import optim
import torch.backends.cudnn as cudnn
from torch.utils import data as data_utils
import numpy as np
from glob import glob
import... | 8,771 | 30.328571 | 108 | py |
Wav2Lip | Wav2Lip-master/wav2lip_train.py | from os.path import dirname, join, basename, isfile
from tqdm import tqdm
from models import SyncNet_color as SyncNet
from models import Wav2Lip as Wav2Lip
import audio
import torch
from torch import nn
from torch import optim
import torch.backends.cudnn as cudnn
from torch.utils import data as data_utils
import nump... | 12,918 | 33.450667 | 123 | py |
Wav2Lip | Wav2Lip-master/evaluation/real_videos_inference.py | from os import listdir, path
import numpy as np
import scipy, cv2, os, sys, argparse
import dlib, json, subprocess
from tqdm import tqdm
from glob import glob
import torch
sys.path.append('../')
import audio
import face_detection
from models import Wav2Lip
parser = argparse.ArgumentParser(description='Code to generat... | 9,173 | 28.980392 | 113 | py |
Wav2Lip | Wav2Lip-master/evaluation/gen_videos_from_filelist.py | from os import listdir, path
import numpy as np
import scipy, cv2, os, sys, argparse
import dlib, json, subprocess
from tqdm import tqdm
from glob import glob
import torch
sys.path.append('../')
import audio
import face_detection
from models import Wav2Lip
parser = argparse.ArgumentParser(description='Code to generat... | 7,204 | 29.146444 | 109 | py |
Wav2Lip | Wav2Lip-master/evaluation/scores_LSE/SyncNetInstance_calc_scores.py | #!/usr/bin/python
#-*- coding: utf-8 -*-
# Video 25 FPS, Audio 16000HZ
import torch
import numpy
import time, pdb, argparse, subprocess, os, math, glob
import cv2
import python_speech_features
from scipy import signal
from scipy.io import wavfile
from SyncNetModel import *
from shutil import rmtree
# ==============... | 6,801 | 31.236967 | 170 | py |
Wav2Lip | Wav2Lip-master/models/wav2lip.py | import torch
from torch import nn
from torch.nn import functional as F
import math
from .conv import Conv2dTranspose, Conv2d, nonorm_Conv2d
class Wav2Lip(nn.Module):
def __init__(self):
super(Wav2Lip, self).__init__()
self.face_encoder_blocks = nn.ModuleList([
nn.Sequential(Conv2d(6, ... | 8,579 | 45.378378 | 111 | py |
Wav2Lip | Wav2Lip-master/models/conv.py | import torch
from torch import nn
from torch.nn import functional as F
class Conv2d(nn.Module):
def __init__(self, cin, cout, kernel_size, stride, padding, residual=False, *args, **kwargs):
super().__init__(*args, **kwargs)
self.conv_block = nn.Sequential(
nn.Conv2d(cin,... | 1,620 | 35.022222 | 104 | py |
Wav2Lip | Wav2Lip-master/models/syncnet.py | import torch
from torch import nn
from torch.nn import functional as F
from .conv import Conv2d
class SyncNet_color(nn.Module):
def __init__(self):
super(SyncNet_color, self).__init__()
self.face_encoder = nn.Sequential(
Conv2d(15, 32, kernel_size=(7, 7), stride=1, padding=3),
... | 3,141 | 45.895522 | 88 | py |
Wav2Lip | Wav2Lip-master/face_detection/utils.py | from __future__ import print_function
import os
import sys
import time
import torch
import math
import numpy as np
import cv2
def _gaussian(
size=3, sigma=0.25, amplitude=1, normalize=False, width=None,
height=None, sigma_horz=None, sigma_vert=None, mean_horz=0.5,
mean_vert=0.5):
# handle ... | 11,808 | 36.60828 | 111 | py |
Wav2Lip | Wav2Lip-master/face_detection/api.py | from __future__ import print_function
import os
import torch
from torch.utils.model_zoo import load_url
from enum import Enum
import numpy as np
import cv2
try:
import urllib.request as request_file
except BaseException:
import urllib as request_file
from .models import FAN, ResNetDepth
from .utils import *
... | 2,266 | 27.696203 | 113 | py |
Wav2Lip | Wav2Lip-master/face_detection/models.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
def conv3x3(in_planes, out_planes, strd=1, padding=1, bias=False):
"3x3 convolution with padding"
return nn.Conv2d(in_planes, out_planes, kernel_size=3,
stride=strd, padding=padding, bias=bias)
class ConvBloc... | 8,619 | 31.900763 | 106 | py |
Wav2Lip | Wav2Lip-master/face_detection/detection/core.py | import logging
import glob
from tqdm import tqdm
import numpy as np
import torch
import cv2
class FaceDetector(object):
"""An abstract class representing a face detector.
Any other face detection implementation must subclass it. All subclasses
must implement ``detect_from_image``, that return a list of d... | 4,868 | 36.167939 | 112 | py |
Wav2Lip | Wav2Lip-master/face_detection/detection/sfd/detect.py | import torch
import torch.nn.functional as F
import os
import sys
import cv2
import random
import datetime
import math
import argparse
import numpy as np
import scipy.io as sio
import zipfile
from .net_s3fd import s3fd
from .bbox import *
def detect(net, img, device):
img = img - np.array([104, 117, 123])
i... | 3,769 | 32.362832 | 109 | py |
Wav2Lip | Wav2Lip-master/face_detection/detection/sfd/sfd_detector.py | import os
import cv2
from torch.utils.model_zoo import load_url
from ..core import FaceDetector
from .net_s3fd import s3fd
from .bbox import *
from .detect import *
models_urls = {
's3fd': 'https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth',
}
class SFDDetector(FaceDetector):
def __init_... | 1,809 | 29.166667 | 133 | py |
Wav2Lip | Wav2Lip-master/face_detection/detection/sfd/bbox.py | from __future__ import print_function
import os
import sys
import cv2
import random
import datetime
import time
import math
import argparse
import numpy as np
import torch
try:
from iou import IOU
except BaseException:
# IOU cython speedup 10x
def IOU(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2):
sa = a... | 4,279 | 31.923077 | 87 | py |
Wav2Lip | Wav2Lip-master/face_detection/detection/sfd/net_s3fd.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class L2Norm(nn.Module):
def __init__(self, n_channels, scale=1.0):
super(L2Norm, self).__init__()
self.n_channels = n_channels
self.scale = scale
self.eps = 1e-10
self.weight = nn.Parameter(torch.Tensor(sel... | 5,291 | 39.707692 | 91 | py |
ACDnet | ACDnet-master/network_related/vgg16_reduced.py | #####
# This code is largely referred from MXNet's SSD implementation
#####
import mxnet as mx
def get_symbol(data, num_classes=1000, **kwargs):
"""
VGG 16 layers network
This is a modified version, with fc6/fc7 layers replaced by conv layers
And the network is slightly smaller than original VGG 16 ne... | 4,558 | 46.989474 | 84 | py |
ACDnet | ACDnet-master/network_related/common.py |
#####
# This code is largely referred from MXNet's SSD implementation
#####
import mxnet as mx
import numpy as np
def conv_act_layer_norelu(from_layer, name, num_filter, kernel=(1,1), pad=(0,0), \
stride=(1,1), act_type="relu", use_batchnorm=False): # use_batchnorm=False
conv = mx.symbol.Convolution(dat... | 13,102 | 40.596825 | 113 | py |
ACDnet | ACDnet-master/network_related/symbol_builder.py |
import mxnet as mx
from symbol_.common import multi_layer_feature, multibox_layer
import numpy as np
def import_module(module_name):
"""Helper function to import module"""
import sys, os
import importlib
sys.path.append(os.path.dirname(__file__))
return importlib.import_module(module_name)
#####... | 32,850 | 53.120264 | 205 | py |
cgcnn | cgcnn-master/main.py | import argparse
import os
import shutil
import sys
import time
import warnings
from random import sample
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn import metrics
from torch.autograd import Variable
from torch.optim.lr_scheduler import MultiStepLR
from cgcnn.data im... | 20,707 | 39.287938 | 95 | py |
cgcnn | cgcnn-master/predict.py | import argparse
import os
import shutil
import sys
import time
import numpy as np
import torch
import torch.nn as nn
from sklearn import metrics
from torch.autograd import Variable
from torch.utils.data import DataLoader
from cgcnn.data import CIFData
from cgcnn.data import collate_pool
from cgcnn.model import Crysta... | 11,219 | 36.4 | 89 | py |
cgcnn | cgcnn-master/cgcnn/model.py | from __future__ import print_function, division
import torch
import torch.nn as nn
class ConvLayer(nn.Module):
"""
Convolutional operation on graphs
"""
def __init__(self, atom_fea_len, nbr_fea_len):
"""
Initialize ConvLayer.
Parameters
----------
atom_fea_le... | 6,655 | 34.404255 | 76 | py |
cgcnn | cgcnn-master/cgcnn/data.py | from __future__ import print_function, division
import csv
import functools
import json
import os
import random
import warnings
import numpy as np
import torch
from pymatgen.core.structure import Structure
from torch.utils.data import Dataset, DataLoader
from torch.utils.data.dataloader import default_collate
from to... | 12,678 | 34.917847 | 79 | py |
SAPar | SAPar-master/SAPar_model.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
use_cuda = torch.cuda.is_available()
if use_cuda:
torch_t = torch.cuda
def from_numpy(ndarray):
return torch.from_numpy(ndarray).pin_memory().cuda(async=True)
else:
print("Not using CUDA!")
torch_t = torch
fr... | 77,290 | 43.242129 | 166 | py |
SAPar | SAPar-master/SAPar_main.py | import argparse
import itertools
import os.path
import os
import time
import logging
import datetime
import torch
import torch.optim.lr_scheduler
import numpy as np
import os
import evaluate
import trees
import vocabulary
import nkutil
from tqdm import tqdm
import SAPar_model
import random
tokens = SAPar_model
from ... | 23,798 | 37.139423 | 111 | py |
SAPar | SAPar-master/pytorch_pretrained_zen/optimization.py | # coding=utf-8
# This file is derived from the code at
# https://github.com/huggingface/transformers/blob/master/transformers/optimization.py
#
# Original copyright notice:
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "Lice... | 13,252 | 40.939873 | 139 | py |
SAPar | SAPar-master/pytorch_pretrained_zen/tokenization.py | # coding=utf-8
# This file is derived from the code at
# https://github.com/huggingface/transformers/blob/master/transformers/tokenization_bert.py
#
# Original copyright notice:
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the ... | 18,788 | 41.89726 | 179 | py |
SAPar | SAPar-master/pytorch_pretrained_zen/modeling.py | # coding: utf-8
# Copyright 2019 Sinovation Ventures AI Institute
#
# 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... | 70,545 | 50.948454 | 187 | py |
SAPar | SAPar-master/pytorch_pretrained_zen/file_utils.py | # This file is derived from the code at
# https://github.com/huggingface/transformers/blob/master/transformers/file_utils.py
# and the code at
# https://github.com/allenai/allennlp/blob/master/allennlp/common/file_utils.py.
#
# Original copyright notice:
#
# This file is adapted from the AllenNLP library at https://git... | 9,610 | 32.371528 | 98 | py |
SAPar | SAPar-master/pytorch_pretrained_bert/optimization.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace 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/LICENS... | 6,803 | 40.742331 | 116 | py |
SAPar | SAPar-master/pytorch_pretrained_bert/__main__.py | # coding: utf8
def main():
import sys
try:
from .convert_tf_checkpoint_to_pytorch import convert_tf_checkpoint_to_pytorch
except ModuleNotFoundError:
print("pytorch_pretrained_bert can only be used from the commandline to convert TensorFlow models in PyTorch, "
"In that case, i... | 932 | 39.565217 | 137 | py |
SAPar | SAPar-master/pytorch_pretrained_bert/modeling.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace 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 copy... | 57,606 | 48.704055 | 139 | py |
SAPar | SAPar-master/pytorch_pretrained_bert/file_utils.py | """
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP authors.
"""
import os
import logging
import shutil
import tempfile
import json
from urllib.parse import urlparse
from pathlib import Path
from typing ... | 8,021 | 32.425 | 98 | py |
SAPar | SAPar-master/pytorch_pretrained_bert/convert_tf_checkpoint_to_pytorch.py | # coding=utf-8
# Copyright 2018 The HugginFace 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 ... | 4,477 | 38.628319 | 101 | py |
SAPar | SAPar-master/pytorch_transformers/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... | 8,635 | 44.452632 | 130 | py |
SAPar | SAPar-master/pytorch_transformers/__main__.py | # coding: utf8
def main():
import sys
if (len(sys.argv) < 4 or len(sys.argv) > 6) or sys.argv[1] not in ["bert", "gpt", "transfo_xl", "gpt2", "xlnet", "xlm"]:
print(
"Should be used as one of: \n"
">> pytorch_transformers bert TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT, \n"
">> ... | 7,021 | 53.434109 | 143 | py |
SAPar | SAPar-master/pytorch_transformers/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... | 3,081 | 39.552632 | 111 | py |
SAPar | SAPar-master/pytorch_transformers/convert_openai_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... | 3,170 | 40.723684 | 118 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_utils.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... | 47,379 | 50.668484 | 480 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_bert.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... | 66,519 | 52.601934 | 187 | py |
SAPar | SAPar-master/pytorch_transformers/tokenization_auto.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... | 5,711 | 52.886792 | 153 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_gpt2.py | # coding=utf-8
# Copyright 2018 The OpenAI Team Authors and 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 copy of the License... | 36,429 | 48.699864 | 136 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_openai.py | # coding=utf-8
# Copyright 2018 The OpenAI Team Authors and 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 copy of the License... | 34,785 | 47.516039 | 140 | py |
SAPar | SAPar-master/pytorch_transformers/tokenization_bert.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... | 20,131 | 43.441501 | 183 | py |
SAPar | SAPar-master/pytorch_transformers/convert_xlnet_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... | 4,357 | 40.504762 | 126 | py |
SAPar | SAPar-master/pytorch_transformers/convert_xlm_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... | 2,955 | 37.894737 | 117 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_auto.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... | 15,108 | 60.418699 | 158 | py |
SAPar | SAPar-master/pytorch_transformers/convert_transfo_xl_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... | 5,555 | 46.084746 | 121 | py |
SAPar | SAPar-master/pytorch_transformers/convert_roberta_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... | 8,720 | 46.917582 | 188 | py |
SAPar | SAPar-master/pytorch_transformers/file_utils.py | """
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP authors.
"""
from __future__ import (absolute_import, division, print_function, unicode_literals)
import sys
import json
import logging
import os
impor... | 9,100 | 33.604563 | 112 | py |
SAPar | SAPar-master/pytorch_transformers/convert_tf_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... | 2,599 | 38.393939 | 102 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_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... | 58,525 | 41.782164 | 157 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_xlnet.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... | 63,587 | 48.484825 | 169 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_xlm.py | # coding=utf-8
# Copyright 2019-present, Facebook, Inc 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
#
# Un... | 44,843 | 47.956332 | 151 | py |
SAPar | SAPar-master/pytorch_transformers/tokenization_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... | 21,459 | 36.583187 | 110 | py |
SAPar | SAPar-master/pytorch_transformers/convert_pytorch_checkpoint_to_tf.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... | 4,495 | 33.320611 | 115 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_transfo_xl_utilities.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... | 13,568 | 39.747748 | 132 | py |
SAPar | SAPar-master/pytorch_transformers/modeling_roberta.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... | 18,024 | 50.5 | 134 | py |
SAPar | SAPar-master/pytorch_transformers/tokenization_utils.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
#
# ... | 31,331 | 46.762195 | 380 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 8,536 | 38.706977 | 93 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 2,677 | 35.189189 | 94 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 2,001 | 39.857143 | 122 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_roberta_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 ... | 10,235 | 41.123457 | 120 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_utils_test.py | # coding=utf-8
# Copyright 2018 HuggingFace 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 a... | 1,838 | 38.12766 | 77 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_common_test.py | # coding=utf-8
# Copyright 2019 HuggingFace 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 ag... | 26,105 | 43.702055 | 138 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_xlm_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 ... | 3,181 | 37.337349 | 94 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_auto_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 ... | 1,782 | 36.145833 | 97 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_bert_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 ... | 14,581 | 45.587859 | 162 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 6,088 | 42.492857 | 115 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_xlnet_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 ... | 14,185 | 42.919505 | 135 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_bert_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 ... | 5,280 | 36.190141 | 90 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_auto_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 ... | 1,825 | 37.851064 | 91 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_roberta_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 ... | 3,782 | 38.40625 | 121 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_xlnet_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 ... | 5,242 | 48 | 128 | py |
SAPar | SAPar-master/pytorch_transformers/tests/modeling_xlm_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 ... | 12,674 | 42.112245 | 171 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 1,934 | 38.489796 | 112 | py |
SAPar | SAPar-master/pytorch_transformers/tests/tokenization_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 ... | 2,656 | 36.957143 | 95 | py |
SAPar | SAPar-master/pytorch_transformers/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 ... | 2,636 | 35.123288 | 90 | py |
finn-examples | finn-examples-main/build/cybersecurity-mlp/custom_steps.py | import numpy as np
import pkg_resources as pk
import os
from brevitas.nn import QuantLinear, QuantReLU, QuantIdentity
import torch
import torch.nn as nn
import brevitas.onnx as bo
from brevitas.quant_tensor import QuantTensor
# Define export wrapper
class CybSecMLPForExport(nn.Module):
def __init__(self, my_pretr... | 3,178 | 33.182796 | 89 | py |
PersianQA | PersianQA-main/src/utils.py | # ----------------------------------------------------------------------- PyTorch Section
from tqdm import tqdm
import torch
class AnswerPredictor:
def __init__(self, model, tokenizer, device='cuda', n_best=10, max_length=512, stride=256, no_answer=False):
"""Initializes PyTorch Question Answering Predictio... | 9,375 | 44.736585 | 121 | py |
easy_pbr | easy_pbr-master/setup.py | import os
import re
import sys
import platform
import subprocess
import glob
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
from distutils.version import LooseVersion
from distutils.command.install_headers import install_headers as install_headers_orig
from setuptools import... | 11,455 | 34.033639 | 215 | py |
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