beta-vae 开源项目推荐（53 个）

AntixK /PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

clementchadebec /benchmark_VAE

在Pytorch中统一变分自动编码器（VAE）实现（NeurIPS 2022）

YannDubs /disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

1Konny /Beta-VAE

Pytorch implementation of β-VAE

google-deepmind /dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

EugenHotaj /pytorch-generative

Easy generative modeling in PyTorch

1Konny /FactorVAE

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

miyosuda /disentangled_vae

Replicating "Understanding disentangling in β-VAE"

tvhahn /ml-tool-wear

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

Kyushik /Generative-Model

Repository for implementation of generative models with Tensorflow 1.x

1Konny /WAE-pytorch

该项目在 GitHub 上没有填写描述

marisancans /frame-predict-VAE-LSTM

Predicting image frames using autoencoder and LSTM

yuki3-18 /Topological-DVAE

An implementation of Denoising Variational AutoEncoder with Topological loss

1Konny /idgan

Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.

mmrl /disent-and-gen

Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

Glaciohound /SCAN

Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018

kundan2510 /vae_celeba

该项目在 GitHub 上没有填写描述

GrepRunRepeat /disentangled-VAE

Disentangling the latent space of a VAE.

AxelNathanson /pytorch-Variational-Autoencoder

Implementation of VAE in pytorch.

Bhavik-Ardeshna /pytorch-VAE

Variational Autoencoder and a Disentangled version (beta-VAE) implementation in PyTorch-Lightning