Alternatives and similar repositories for variational-autoencoder:

Users that are interested in variational-autoencoder are comparing it to the libraries listed below

• kvfrans / variational-autoencoder
  generate MNIST using a Variational Autoencoder
  ☆710Updated 6 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆706Updated 5 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 6 years ago
• cdoersch / vae_tutorial
  Caffe code to accompany my Tutorial on Variational Autoencoders
  ☆507Updated 8 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆420Updated 2 years ago
• Naresh1318 / Adversarial_Autoencoder
  A wizard's guide to Adversarial Autoencoders
  ☆435Updated 3 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆800Updated 3 years ago
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆510Updated 10 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆888Updated 9 months ago
• openai / improved-gan
  Code for the paper "Improved Techniques for Training GANs"
  ☆2,305Updated 6 years ago
• openai / iaf
  Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
  ☆519Updated 6 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆807Updated 2 years ago
• timbmg / VAE-CVAE-MNIST
  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
  ☆612Updated last month
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• openai / InfoGAN
  Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Advers…
  ☆1,057Updated 3 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆536Updated 4 years ago
• caogang / wgan-gp
  A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
  ☆1,521Updated last year
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,397Updated 3 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆547Updated 6 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,041Updated 2 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆532Updated 3 years ago
• martinarjovsky / WassersteinGAN
  ☆3,221Updated 6 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆463Updated 5 years ago
• brain-research / self-attention-gan
  ☆1,004Updated 5 years ago
• igul222 / improved_wgan_training
  Code for reproducing experiments in "Improved Training of Wasserstein GANs"
  ☆2,369Updated 6 years ago
• hwalsuklee / tensorflow-mnist-VAE
  Tensorflow implementation of variational auto-encoder for MNIST
  ☆496Updated 7 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆491Updated 4 years ago
• znxlwm / pytorch-generative-model-collections
  Collection of generative models in Pytorch version.
  ☆2,616Updated 4 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆463Updated 5 years ago
• devnag / pytorch-generative-adversarial-networks
  A very simple generative adversarial network (GAN) in PyTorch
  ☆1,524Updated 3 years ago