jaanli / variational-autoencoderLinks
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
☆1,173Updated last year
Alternatives and similar repositories for variational-autoencoder
Users that are interested in variational-autoencoder are comparing it to the libraries listed below
Sorting:
- generate MNIST using a Variational Autoencoder☆711Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- Caffe code to accompany my Tutorial on Variational Autoencoders☆514Updated 8 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,404Updated 4 years ago
- Wasserstein Auto-Encoders☆508Updated 7 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆821Updated 4 years ago
- A wizard's guide to Adversarial Autoencoders☆434Updated 3 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆425Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆824Updated 2 years ago
- Pytorch implementation of β-VAE☆548Updated 4 years ago
- Tensorflow implementation of variational auto-encoder for MNIST☆496Updated 8 years ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆638Updated last month
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆559Updated 6 years ago
- ☆3,230Updated 6 years ago
- Torch implementations of various types of autoencoders☆472Updated 7 years ago
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆515Updated 10 years ago
- Collection of generative models in Pytorch version.☆2,631Updated 5 years ago
- Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Advers…☆1,063Updated 4 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- A very simple generative adversarial network (GAN) in PyTorch☆1,533Updated 4 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆502Updated 6 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆300Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- Code for the paper "Improved Techniques for Training GANs"☆2,322Updated 6 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆521Updated 6 years ago
- A pytorch implementation of Paper "Improved Training of Wasserstein GANs"☆1,535Updated last year
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆467Updated 6 years ago