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我的VAE PyTorch实现参考了这个仓库:github.com/AntixK/PyTor 。开头的人脸生成效果图是从这个项目里摘抄过来的。 VAE PyTorch 实现 项目网址:github.com/SingleZombie 数据集 在这个项目中,我使用了CelebA数据集。这个数据集有200k张人脸,裁剪和对齐后的图片只有1个多G,对实验非常友好。 CelebA的下载链接可以在官方...
vae_description.png Correct a minor mathematical error. Sep 16, 2020 vae_sample.png Add files via upload Jul 15, 2020 Repository files navigation README MIT license Variational AutoEncoders Pytorch implementation for Variational AutoEncoders (VAEs) and conditional Variational AutoEncoders. A short ...
本文主要做的就是VQ-VAE模型的pytorch复现,其中介绍 VQ-VAE的主要结构,模型优化的损失函数,codebook离散化结构,以及pixelCNN的相关结构。末尾还会给出利用mini-imagenet数据复现实验的结果。 代码地址:https://github.com/ritheshkumar95/pytorch-vqvae VQ-VAE模型结构 class VectorQuantizedVAE(nn.Module): def __ini...
Check also our blogpost (https://nicola-decao.github.io/s-vae).Don't use Pytorch? Take a look here for a tensorflow implementation!Dependenciespython>=3.6 pytorch>=0.4.1: https://pytorch.org scipy: https://scipy.org numpy: https://www.numpy.org...
$ git clone https://github.com/kuc2477/pytorch-vae && cd pytorch-vae $ pip install -r requirements.txt CLI Implementation CLI is provided bymain.py Usage $ ./main.py --help $ usage: VAE PyTorch implementation [-h] [--dataset {mnist,cifar10,cifar100}] [--kernel-num KERNEL_NUM] [...
(变分自编码器)训练器的实现,该训练器用于训练潜在扩散模型(如稳定扩散模型、FLUX、SORA 等)中的 VAE,并包含了一些修改和优化,如固定方差、LPIPS 损失、低通滤波器重建损失等,以提高训练稳定性和性能】'Train VAE like a boss - My attempt to write distributed VAE trainer' GitHub: github.com/cloneofsimo/...
链接:https://github.com/vacancy/Synchronized-BatchNorm-PyTorch 类似BN 滑动平均 如果要实现类似 BN 滑动平均的操作,在 forward 函数中要使用原地(inplace)操作给滑动平均赋值。 class BN(torch.nn.Module) def __init__(self): ... self.register_buffer('running_mean', torch.zeros(num_features)) ...
Pytorch Lightning >= 0.6.0 (GitHub Repo) CUDA enabled computing device Installation $ git clone https://github.com/AntixK/PyTorch-VAE $ cd PyTorch-VAE $ pip install -r requirements.txt Usage $ cd PyTorch-VAE $ python run.py -c configs/<config-file-name.yaml> ...
Ladder Variational Autoencoders (LVAE) in PyTorch. Contribute to addtt/ladder-vae-pytorch development by creating an account on GitHub.