shayneobrien / generative-modelsLinks
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
☆500Updated 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)"☆920Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆468Updated 6 years ago
- Improved WGAN in Pytorch☆441Updated 2 years ago
- A curated list of research papers related to learning disentangled representations☆465Updated 6 years ago
- GANs with spectral normalization and projection discriminator☆1,106Updated 5 years ago
- Wasserstein Auto-Encoders☆507Updated 7 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- ☆1,014Updated 6 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆565Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆296Updated 5 years ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆678Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆494Updated 4 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆373Updated 6 years ago
- A wizard's guide to Adversarial Autoencoders☆432Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"☆734Updated 5 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN☆655Updated 7 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- A timeline showing the development of Generative Adversarial Networks (GAN).☆388Updated 6 years ago
- i-RevNet Pytorch Code☆394Updated 4 years ago
- Generative image model with learned similarity measures☆444Updated 8 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)☆432Updated 8 years ago
- PyTorch implementation of "Progressive growing of GANs (PGGAN)"☆825Updated 2 years ago
- implement infoGAN using pytorch☆153Updated 7 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆183Updated 7 years ago
- PyTorch Implementation of InfoGAN☆327Updated 2 years ago