amir-abdi / disentanglement-pytorchLinks
Disentanglement library for PyTorch
☆279Updated 3 years ago
Alternatives and similar repositories for disentanglement-pytorch
Users that are interested in disentanglement-pytorch are comparing it to the libraries listed below
Sorting:
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 2 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆384Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆424Updated 2 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- ☆238Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆275Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆371Updated 5 years ago
- ☆91Updated 6 years ago
- ☆79Updated 3 months ago
- Pytorch implementation of β-VAE☆549Updated 4 years ago
- Implementation of Real NVP in PyTorch☆234Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- A PyTorch library for two-sample tests☆241Updated 2 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- ☆149Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆825Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆467Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- ☆88Updated 3 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 6 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆112Updated 4 years ago