from pytorch_lightning.logging import TestTubeLogger parser = argparse.ArgumentParser(description='Generic runner for VAE models') parser.add_argument('--config', '-c', dest="filename", metavar='FILE', help = '
master BranchesTags pytorch-vae/model.py/ Jump to Cannot retrieve contributors at this time 147 lines (123 sloc)4.29 KB RawBlame importtorch fromtorch.autogradimportVariable fromtorchimportnn classVAE(nn.Module): def__init__(self,label,image_size,channel_num,kernel_num,z_size): ...
Security Insights More master pytorch-vae/data.py/ Jump to 58 lines (48 sloc)1.51 KB RawBlame fromtorchvisionimportdatasets,transforms _MNIST_TRAIN_TRANSFORMS=_MNIST_TEST_TRANSFORMS=[ transforms.ToTensor(), transforms.ToPILImage(), transforms.Pad(2), ...
A Collection of Variational Autoencoders (VAE) in PyTorch. - PyTorch-VAE/models/info_vae.py at master · AntixK/PyTorch-VAE
AntixK/PyTorch-VAEPublic Notifications Fork1k Star5.9k Code Issues48 Pull requests6 Actions Projects Security Insights Additional navigation options Files master .idea assets configs models __init__.py base.py beta_vae.py betatc_vae.py
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch - vq-vae-2-pytorch/extract_code.py at master · rosinality/vq-vae-2-pytorch
this code is based on pytorch/examples and staturecrane/dcgan_vae_torchThe original artical can be found hereRequirementstorch torchvision visdom (optional) lmdbUsageto start visdom:python -m visdom.server to start the training:usage: main.py [-h] --dataset DATASET --dataroot DATAROOT [--...
master PyTorch-VAE/run.py/ Jump to 55 lines (45 sloc)1.65 KB RawBlame importyaml importargparse importnumpyasnp frommodelsimport* fromexperimentimportVAEXperiment importtorch.backends.cudnnascudnn frompytorch_lightningimportTrainer frompytorch_lightning.loggingimportTestTubeLogger ...
import yaml import argparse import numpy as np from models import * from experiment import VAEXperiment import torch.backends.cudnn as cudnn from pytorch_lightning import Trainer from pytorch_lightning.logging import TestTubeLogger parser = argparse.ArgumentParser(description='Generic runner for VAE mode...
Breadcrumbs vq-vae-2-pytorch / train_vqvae.pyTop File metadata and controls Code Blame executable file· 152 lines (113 loc) · 4.2 KB Raw import argparse import sys import os import torch from torch import nn, optim from torch.utils.data import DataLoader from torchvision import datasets,...