repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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PLRDiff | PLRDiff-main/guided_diffusion/core.py | '''
copied from
https://github.com/sanghyun-son/bicubic_pytorch
A standalone PyTorch implementation for fast and efficient bicubic resampling.
The resulting values are the same to MATLAB function imresize('bicubic').
## Author: Sanghyun Son
## Email: sonsang35@gmail.com (primary), thstkdgus35@snu.ac.kr (s... | 13,613 | 27.904459 | 84 | py |
PLRDiff | PLRDiff-main/guided_diffusion/rsfac_gaussian_diffusion.py | """
This code started out as a PyTorch port of the following:
https://github.com/HJ-harry/MCG_diffusion/blob/main/guided_diffusion/gaussian_diffusion.py
The conditions are changed and coefficient matrix estimation is added.
"""
import enum
import math
import numpy as np
import torch as th
from torch.autograd import ... | 16,226 | 34.900442 | 129 | py |
PLRDiff | PLRDiff-main/guided_diffusion/utils.py | """
Logger copied from OpenAI baselines to avoid extra RL-based dependencies:
https://github.com/openai/baselines/blob/ea25b9e8b234e6ee1bca43083f8f3cf974143998/baselines/logger.py
"""
import os
import os.path as osp
import json
import datetime
from collections import OrderedDict
def mkdirs(paths):
if isinstance(p... | 1,545 | 23.935484 | 101 | py |
PLRDiff | PLRDiff-main/guided_diffusion/create.py | from . import rsfac_gaussian_diffusion as gd
def create_model_and_diffusion_RS(opt):
model = define_G(opt['model'])
opt2 = opt['diffusion']
diffusion = create_gaussian_diffusion(
beta_schedule= opt2['beta_schedule'],
beta_linear_start= opt2['beta_linear_start'],
beta_linear_end = op... | 1,601 | 26.62069 | 102 | py |
PLRDiff | PLRDiff-main/guided_diffusion/__init__.py | """
Codebase for "Improved Denoising Diffusion Probabilistic Models".
"""
| 74 | 17.75 | 65 | py |
PLRDiff | PLRDiff-main/guided_diffusion/sr3_modules/unet.py | import math
import torch
from torch import nn
import torch.nn.functional as F
from inspect import isfunction
def exists(x):
return x is not None
def default(val, d):
if exists(val):
return val
return d() if isfunction(d) else d
# PositionalEncoding Source： https://github.com/lmnt-com/wavegrad/b... | 9,347 | 31.8 | 150 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/diffusion.py | import torch
import torchvision
from torch import nn
from torch.nn import functional as F
from torch.utils.data import DataLoader
from diffusers import DDPMScheduler, UNet2DModel
from matplotlib import pyplot as plt
from diffusers import DDIMScheduler, DDPMPipeline
from data.dataset import data_loader
import wandb
impo... | 4,562 | 32.551471 | 152 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/test.py | import argparse
import torch
from tqdm import tqdm
import os
from models import mlp
from data.dataset import data_loader
from data.dataset import data_loader_attacks
root_dir = "./data/attack-data/0.03"
def test_vit(model, dataloader_test):
"""
This function used to test ViT.
Args:
model: ViT... | 2,645 | 31.666667 | 94 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/aabb.py | import numpy as np
import torch
import torch.nn.functional as F
import torchvision
from diffusers import DDIMScheduler, DDPMPipeline
from matplotlib import pyplot as plt
from PIL import Image
from torchvision import transforms
from tqdm.auto import tqdm
from torchvision.datasets import ImageFolder
from torch.utils.dat... | 1,250 | 29.512195 | 93 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/attack.py |
import foolbox as fb
import torch
import torch.nn as nn
from autoattack import AutoAttack
class Attack():
"""
This class used to generate adversarial images.
when create object specify epsilon: float, attack_type: 'FGSM, CW, BIM, L2PGD, PGD, LinfBIM'.
generate method return images and success tens... | 7,000 | 34.358586 | 99 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/mlp.py | import torch.nn as nn
import torch
from utils import get_classifiers_list
class Classifier(nn.Module):
"""
MLP classifier.
Args:
num_classes -> number of classes
in_feature -> features dimension
return logits.
"""
def __init__(self,num_classes=2 ,in_features = 768*196... | 2,262 | 33.815385 | 152 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/utils.py | import os
import torch
from attack import Attack
import numpy as np
import matplotlib.pyplot as plt
from torchvision.utils import save_image
from autoattack import AutoAttack
def generate_save_attacks(attack_names, model, samples, classes ,attack_image_dir, epsilon = 0.03, batch_size=30):
"""
it saves att... | 6,033 | 37.433121 | 177 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/majority_voting.py | import os
import torch
import argparse
import numpy as np
from utils import *
from data.dataset import data_loader, data_loader_attacks
import mlp
def majority_voting(data_loader, model, mlps_list):
"""
SEViT performance with majority voting.
Args:
data_loader: loader of test samples for clean i... | 2,732 | 30.77907 | 122 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/finetuning_diffusion_model.py | import numpy as np
import torch
import torch.nn.functional as F
import torchvision
from diffusers import DDIMScheduler, DDPMPipeline
from matplotlib import pyplot as plt
from PIL import Image
from torchvision import transforms
from diffusers import DDPMScheduler, UNet2DModel
from tqdm.auto import tqdm
from torchvision.... | 4,351 | 30.766423 | 156 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/generate_attacks.py | import torch
import argparse
from attack import Attack
from utils import *
from data.dataset import data_loader
from mlp import Big_model
parser = argparse.ArgumentParser(description='Generate Attack from ViT')
parser.add_argument('--epsilons', type=float ,
help='Perturbations Size')
parser.add... | 1,179 | 28.5 | 72 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/adversarial_detection.py | import torch
import numpy as np
from utils import *
import argparse
from data.dataset import data_loader, data_loader_attacks
parser = argparse.ArgumentParser(description='ROC For Attack')
parser.add_argument('--clean_image_folder_path', type=str ,
help='Path to root directory of images')
parse... | 1,975 | 36.283019 | 132 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/models/mlp.py | import torch.nn as nn
import torch
class Classifier(nn.Module):
"""
MLP classifier.
Args:
num_classes -> number of classes
in_feature -> features dimension
return logits.
"""
def __init__(self,num_classes=2 ,in_features = 768*196):
super().__init__()
... | 911 | 30.448276 | 78 | py |
Defensive_Diffusion-testing | Defensive_Diffusion-testing/data/dataset.py | import os
from torchvision.datasets import ImageFolder
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
# DataLoader and Dataset (Clean Samples)
def data_loader( root_dir, image_size = (224,224), batch_size= 15, train_dir = 'training',test_dir = 'testing', vald_dir = 'validatio... | 4,070 | 36.694444 | 139 | py |
stylegan-encoder | stylegan-encoder-master/train_effnet.py | """
Trains a modified EfficientNet to generate approximate dlatents using examples from a trained StyleGAN.
Props to @SimJeg on GitHub for the original code this is based on, from this thread: https://github.com/Puzer/stylegan-encoder/issues/1#issuecomment-490469454
"""
import os
import math
import numpy as np
import p... | 16,451 | 47.674556 | 213 | py |
stylegan-encoder | stylegan-encoder-master/pretrained_example.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 6,422 | 30.79703 | 116 | py |
stylegan-encoder | stylegan-encoder-master/generate_figures.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 9,563 | 58.037037 | 257 | py |
stylegan-encoder | stylegan-encoder-master/adaptive.py | # coding=utf-8
# Copyright 2019 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... | 19,790 | 48.4775 | 89 | py |
stylegan-encoder | stylegan-encoder-master/train_resnet.py | """
Trains a modified Resnet to generate approximate dlatents using examples from a trained StyleGAN.
Props to @SimJeg on GitHub for the original code this is based on, from this thread: https://github.com/Puzer/stylegan-encoder/issues/1#issuecomment-490469454
"""
import os
import math
import numpy as np
import pickle
... | 13,439 | 49.337079 | 289 | py |
stylegan-encoder | stylegan-encoder-master/config.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 762 | 32.173913 | 77 | py |
stylegan-encoder | stylegan-encoder-master/run_metrics.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 4,374 | 40.273585 | 262 | py |
stylegan-encoder | stylegan-encoder-master/align_images.py | import os
import sys
import bz2
import argparse
from keras.utils import get_file
from ffhq_dataset.face_alignment import image_align
from ffhq_dataset.landmarks_detector import LandmarksDetector
import multiprocessing
LANDMARKS_MODEL_URL = 'http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2'
def unpack_... | 3,050 | 48.209677 | 200 | py |
stylegan-encoder | stylegan-encoder-master/swa.py | """
Stochastic Weight Averaging: https://arxiv.org/abs/1803.05407
See: https://github.com/kristpapadopoulos/keras-stochastic-weight-averaging
"""
import os
import glob
import pickle
import argparse
from dnnlib.tflib import init_tf
filepath = 'output.pkl'
def fetch_models_from_files(model_list):
for fn in model_li... | 2,025 | 31.15873 | 139 | py |
stylegan-encoder | stylegan-encoder-master/dataset_tool.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 42,105 | 45.372247 | 163 | py |
stylegan-encoder | stylegan-encoder-master/train.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 17,124 | 84.625 | 302 | py |
stylegan-encoder | stylegan-encoder-master/encode_images.py | import os
import argparse
import pickle
from tqdm import tqdm
import PIL.Image
from PIL import ImageFilter
import numpy as np
import dnnlib
import dnnlib.tflib as tflib
import config
from encoder.generator_model import Generator
from encoder.perceptual_model import PerceptualModel, load_images
#from tensorflow.keras.mo... | 15,281 | 62.14876 | 211 | py |
stylegan-encoder | stylegan-encoder-master/robust_loss/distribution.py | # coding=utf-8
# Copyright 2019 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... | 13,191 | 41.554839 | 80 | py |
stylegan-encoder | stylegan-encoder-master/robust_loss/wavelet.py | # coding=utf-8
# Copyright 2019 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... | 19,892 | 40.357588 | 80 | py |
stylegan-encoder | stylegan-encoder-master/robust_loss/cubic_spline.py | # coding=utf-8
# Copyright 2019 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... | 4,068 | 39.287129 | 79 | py |
stylegan-encoder | stylegan-encoder-master/robust_loss/util.py | # coding=utf-8
# Copyright 2019 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... | 5,688 | 29.918478 | 80 | py |
stylegan-encoder | stylegan-encoder-master/robust_loss/general.py | # coding=utf-8
# Copyright 2019 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... | 5,863 | 44.107692 | 80 | py |
stylegan-encoder | stylegan-encoder-master/training/networks_stylegan.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 36,721 | 48.557355 | 191 | py |
stylegan-encoder | stylegan-encoder-master/training/networks_progan.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 17,575 | 53.414861 | 191 | py |
stylegan-encoder | stylegan-encoder-master/training/loss.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 10,416 | 57.522472 | 154 | py |
stylegan-encoder | stylegan-encoder-master/training/misc.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 10,406 | 39.972441 | 136 | py |
stylegan-encoder | stylegan-encoder-master/training/dataset.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 12,220 | 49.5 | 135 | py |
stylegan-encoder | stylegan-encoder-master/training/__init__.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 350 | 38 | 76 | py |
stylegan-encoder | stylegan-encoder-master/training/training_loop.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 16,910 | 54.084691 | 185 | py |
stylegan-encoder | stylegan-encoder-master/ffhq_dataset/landmarks_detector.py | import dlib
class LandmarksDetector:
def __init__(self, predictor_model_path):
"""
:param predictor_model_path: path to shape_predictor_68_face_landmarks.dat file
"""
self.detector = dlib.get_frontal_face_detector() # cnn_face_detection_model_v1 also can be used
self.shape_... | 760 | 33.590909 | 108 | py |
stylegan-encoder | stylegan-encoder-master/ffhq_dataset/__init__.py | 0 | 0 | 0 | py | |
stylegan-encoder | stylegan-encoder-master/ffhq_dataset/face_alignment.py | import numpy as np
import scipy.ndimage
import os
import PIL.Image
def image_align(src_file, dst_file, face_landmarks, output_size=1024, transform_size=4096, enable_padding=True, x_scale=1, y_scale=1, em_scale=0.1, alpha=False):
# Align function from FFHQ dataset pre-processing step
# https://github.c... | 4,533 | 47.752688 | 169 | py |
stylegan-encoder | stylegan-encoder-master/metrics/frechet_inception_distance.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 3,335 | 44.69863 | 129 | py |
stylegan-encoder | stylegan-encoder-master/metrics/metric_base.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 6,479 | 44.314685 | 177 | py |
stylegan-encoder | stylegan-encoder-master/metrics/perceptual_path_length.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 5,225 | 46.944954 | 145 | py |
stylegan-encoder | stylegan-encoder-master/metrics/linear_separability.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 10,313 | 56.94382 | 140 | py |
stylegan-encoder | stylegan-encoder-master/metrics/__init__.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 350 | 38 | 76 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/util.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 13,836 | 32.831296 | 151 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/__init__.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 797 | 37 | 126 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/tflib/tfutil.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 9,325 | 37.378601 | 173 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/tflib/autosummary.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 7,535 | 39.735135 | 127 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/tflib/network.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 32,314 | 50.375199 | 165 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/tflib/__init__.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 522 | 29.764706 | 76 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/tflib/optimizer.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 9,981 | 45.427907 | 164 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/submission/run_context.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 4,347 | 42.48 | 213 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/submission/__init__.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 390 | 38.1 | 76 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/submission/submit.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain ... | 11,185 | 37.439863 | 175 | py |
stylegan-encoder | stylegan-encoder-master/dnnlib/submission/_internal/run.py | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain... | 1,543 | 32.565217 | 98 | py |
stylegan-encoder | stylegan-encoder-master/encoder/generator_model.py | import math
import tensorflow as tf
import numpy as np
import dnnlib.tflib as tflib
from functools import partial
def create_stub(name, batch_size):
return tf.constant(0, dtype='float32', shape=(batch_size, 0))
def create_variable_for_generator(name, batch_size, tiled_dlatent, model_scale=18, tile_size = 1):
... | 7,108 | 50.514493 | 148 | py |
stylegan-encoder | stylegan-encoder-master/encoder/perceptual_model.py | from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
#import tensorflow_probability as tfp
#tf.enable_eager_execution()
import os
import bz2
import PIL.Image
from PIL import ImageFilter
import numpy as np
from keras.models import Model
from keras.utils import get_f... | 15,587 | 49.775244 | 192 | py |
stylegan-encoder | stylegan-encoder-master/encoder/__init__.py | 0 | 0 | 0 | py | |
RocketQA | RocketQA-main/setup.py | # Copyright (c) 2020 PaddlePaddle 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 appli... | 1,737 | 36.782609 | 113 | py |
RocketQA | RocketQA-main/rocketqa/rocketqa.py | import os
import sys
import json
import paddle
import urllib
import numpy as np
import tarfile
import warnings
import hashlib
from tqdm import tqdm
from rocketqa.encoder.dual_encoder import DualEncoder
from rocketqa.encoder.cross_encoder import CrossEncoder
paddle.enable_static()
warnings.simplefilter('ignore')
__MOD... | 7,200 | 40.866279 | 151 | py |
RocketQA | RocketQA-main/rocketqa/__init__.py | # Copyright (c) 2021 RocketQA Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 702 | 36 | 74 | py |
RocketQA | RocketQA-main/rocketqa/encoder/dual_encoder.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 15,636 | 38.190476 | 114 | py |
RocketQA | RocketQA-main/rocketqa/encoder/__init__.py | 0 | 0 | 0 | py | |
RocketQA | RocketQA-main/rocketqa/encoder/cross_encoder.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 13,669 | 38.623188 | 114 | py |
RocketQA | RocketQA-main/rocketqa/reader/reader_ce_predict.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 13,177 | 35.913165 | 103 | py |
RocketQA | RocketQA-main/rocketqa/reader/reader_ce_train.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 12,784 | 37.050595 | 138 | py |
RocketQA | RocketQA-main/rocketqa/reader/reader_de_train.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 15,595 | 38.887468 | 113 | py |
RocketQA | RocketQA-main/rocketqa/reader/__init__.py | 0 | 0 | 0 | py | |
RocketQA | RocketQA-main/rocketqa/reader/reader_de_predict.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 13,619 | 36.01087 | 97 | py |
RocketQA | RocketQA-main/rocketqa/utils/optimization.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 5,188 | 37.723881 | 84 | py |
RocketQA | RocketQA-main/rocketqa/utils/tokenization.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... | 14,348 | 32.921986 | 84 | py |
RocketQA | RocketQA-main/rocketqa/utils/args.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 3,047 | 34.858824 | 119 | py |
RocketQA | RocketQA-main/rocketqa/utils/finetune_args.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 8,590 | 68.845528 | 134 | py |
RocketQA | RocketQA-main/rocketqa/utils/init.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 2,695 | 34.946667 | 108 | py |
RocketQA | RocketQA-main/rocketqa/utils/batching.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 2,683 | 33.410256 | 78 | py |
RocketQA | RocketQA-main/rocketqa/utils/__init__.py | 0 | 0 | 0 | py | |
RocketQA | RocketQA-main/rocketqa/model/dual_encoder_predict.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 3,319 | 31.54902 | 74 | py |
RocketQA | RocketQA-main/rocketqa/model/cross_encoder_predict.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 4,645 | 33.932331 | 85 | py |
RocketQA | RocketQA-main/rocketqa/model/dual_encoder_train.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 5,659 | 36.733333 | 109 | py |
RocketQA | RocketQA-main/rocketqa/model/transformer_encoder.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 12,649 | 35.666667 | 91 | py |
RocketQA | RocketQA-main/rocketqa/model/__init__.py | 0 | 0 | 0 | py | |
RocketQA | RocketQA-main/rocketqa/model/cross_encoder_train.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 5,057 | 32.72 | 85 | py |
RocketQA | RocketQA-main/rocketqa/model/ernie.py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 11,019 | 38.783394 | 92 | py |
RocketQA | RocketQA-main/examples/example.py | import os
import sys
import rocketqa
def train_dual_encoder(base_model, train_set):
dual_encoder = rocketqa.load_model(model=base_model, use_cuda=True, device_id=5, batch_size=16)
dual_encoder.train(train_set, 2, 'de_en_models', save_steps=10, learning_rate=1e-5, log_folder='de_en_log')
def train_cross_enco... | 2,742 | 35.573333 | 112 | py |
RocketQA | RocketQA-main/examples/jina3_example/app.py | import sys
import os
import webbrowser
from pathlib import Path
from docarray import Document,DocumentArray
from jina import Flow
from quart import Quart,render_template
def config():
os.environ.setdefault('JINA_USE_CUDA', 'False')
os.environ.setdefault('JINA_PORT_EXPOSE', '8886')
os.environ.setdefault('J... | 4,462 | 32.810606 | 115 | py |
RocketQA | RocketQA-main/examples/jina3_example/rocketqa_encoder/executor.py | from jina import Executor, requests
from docarray import Document,DocumentArray
import numpy as np
import rocketqa
class RocketQADualEncoder(Executor):
"""
Calculate the `embedding` of the passages and questions with RocketQA Dual-Encoder models.
"""
def __init__(self, model, use_cuda=False, device_i... | 1,651 | 42.473684 | 118 | py |
RocketQA | RocketQA-main/examples/jina3_example/rocketqa_reranker/executor.py | import numpy as np
import rocketqa
from jina import Executor, requests
from docarray import Document, DocumentArray
from docarray.score import NamedScore
class RocketQAReranker(Executor):
"""
Re-rank the `matches` of a Document based on the relevance to the question stored in the `text` field with RocketQA m... | 2,407 | 43.592593 | 143 | py |
RocketQA | RocketQA-main/examples/es_example/query.py | # -*- coding: utf-8 -*-
import sys
import time
import numpy as np
import rocketqa
from elasticsearch import Elasticsearch
class Querier:
def __init__(self, es_client, index_name, de_model, ce_model):
self.es_client = es_client
self.index_name = index_name
self.dual_encoder = rocketqa.loa... | 2,772 | 27.885417 | 116 | py |
RocketQA | RocketQA-main/examples/es_example/index.py | # -*- coding: utf-8 -*-
import argparse
import os
import sys
import faiss
import numpy as np
import rocketqa
from elasticsearch import Elasticsearch, helpers
class Indexer:
def __init__(self, es_client, index_name, model):
self.es_client = es_client
self.index_name = index_name
self.dual... | 2,088 | 27.616438 | 124 | py |
RocketQA | RocketQA-main/examples/faiss_example/rocketqa_service.py | import os
import sys
import json
import faiss
import numpy as np
from tornado import web
from tornado import ioloop
import rocketqa
class FaissTool():
"""
Faiss index tools
"""
def __init__(self, text_filename, index_filename):
self.engine = faiss.read_index(index_filename)
self.id2text... | 4,878 | 28.932515 | 93 | py |
RocketQA | RocketQA-main/examples/faiss_example/query.py | import sys
import requests
import json
SERVICE_ADD = 'http://localhost:8888/rocketqa'
TOPK = 5
while 1:
query = input("please input a query:\t")
if query.strip() == '':
break
input_data = {}
input_data['query'] = query
input_data['topk'] = TOPK
json_str = json.dumps(input_data)
r... | 699 | 24 | 83 | py |
RocketQA | RocketQA-main/examples/faiss_example/index.py | import os
import sys
import numpy as np
import faiss
import rocketqa
def build_index(encoder_conf, index_file_name, title_list, para_list):
dual_encoder = rocketqa.load_model(**encoder_conf)
para_embs = dual_encoder.encode_para(para=para_list, title=title_list)
para_embs = np.array(list(para_embs))
... | 1,456 | 26.490566 | 84 | py |
RocketQA | RocketQA-main/examples/jina_example/app.py | import sys
import os
import webbrowser
from pathlib import Path
from jina import Document, Flow
def config():
os.environ.setdefault('JINA_USE_CUDA', 'False')
os.environ.setdefault('JINA_PORT_EXPOSE', '8886')
os.environ.setdefault('JINA_WORKSPACE', './workspace')
def index(file_name):
def load_marco(... | 3,206 | 29.542857 | 94 | py |
RocketQA | RocketQA-main/examples/jina_example/rocketqa_encoder/executor.py | import numpy as np
from jina import Executor, requests
import rocketqa
class RocketQADualEncoder(Executor):
"""
Calculate the `embedding` of the passages and questions with RocketQA Dual-Encoder models.
"""
def __init__(self, model, use_cuda=False, device_id=0, batch_size=1, *args, **kwargs):
... | 1,817 | 42.285714 | 118 | py |
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