shayneobrien / generative-modelsLinks
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
☆501Updated 6 years ago
Alternatives and similar repositories for generative-models
Users that are interested in generative-models are comparing it to the libraries listed below
Sorting:
- Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"☆919Updated 5 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆467Updated 6 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Improved WGAN in Pytorch☆440Updated 2 years ago
- Wasserstein Auto-Encoders☆507Updated 7 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆560Updated 6 years ago
- Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"☆731Updated 5 years ago
- GANs with spectral normalization and projection discriminator☆1,101Updated 5 years ago
- Totally Versatile Miscellanea for Pytorch☆472Updated 3 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- PyTorch implementations of algorithms for density estimation☆587Updated 4 years ago
- ☆1,010Updated 5 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆493Updated 4 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆708Updated 5 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆182Updated 7 years ago
- i-RevNet Pytorch Code☆392Updated 4 years ago
- A wizard's guide to Adversarial Autoencoders☆434Updated 3 years ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆679Updated 7 years ago
- code for "Adversarial Feature Learning"☆238Updated 3 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆373Updated 6 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- Generative image model with learned similarity measures☆443Updated 8 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆262Updated 7 years ago
- PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)☆432Updated 8 years ago
- PyTorch implementation of "Progressive growing of GANs (PGGAN)"☆824Updated 2 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆513Updated 6 years ago
- PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot☆321Updated 7 years ago
- Pytorch implementation of β-VAE☆549Updated 4 years ago
- implement infoGAN using pytorch☆153Updated 6 years ago