ethanluoyc / pytorch-vaeLinks
A Variational Autoencoder (VAE) implemented in PyTorch
☆425Updated 2 years ago
Alternatives and similar repositories for pytorch-vae
Users that are interested in pytorch-vae are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆634Updated this week
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆299Updated 5 years ago
- PyTorch Implementation of InfoGAN☆324Updated 2 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆540Updated 4 years ago
- Pytorch implementation of β-VAE☆543Updated 4 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆189Updated 7 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆346Updated 6 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆817Updated 3 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- Vector Quantized VAEs - PyTorch Implementation☆912Updated last year
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- Experiments for understanding disentanglement in VAE latent representations☆818Updated 2 years ago
- Improved WGAN in Pytorch☆440Updated last year
- A pytorch implementation of Paper "Improved Training of Wasserstein GANs"☆1,528Updated last year
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆774Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆271Updated 6 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,169Updated last year
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆520Updated 7 years ago
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆339Updated 4 years ago
- A wizard's guide to Adversarial Autoencoders☆436Updated 3 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆107Updated 7 years ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆679Updated 7 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆273Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆234Updated 6 years ago
- Simple Implementation of many GAN models with PyTorch.☆394Updated 2 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago