google-research / disentanglement_libLinks
disentanglement_lib is an open-source library for research on learning disentangled representations.
☆1,401Updated 4 years ago
Alternatives and similar repositories for disentanglement_lib
Users that are interested in disentanglement_lib are comparing it to the libraries listed below
Sorting:
- Experiments for understanding disentanglement in VAE latent representations☆818Updated 2 years ago
- Pytorch implementation of β-VAE☆543Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆817Updated 3 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 5 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆506Updated 4 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆808Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆465Updated 6 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,169Updated last year
- Normalizing flows in PyTorch. Current intended use is education not production.☆865Updated 5 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆622Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆540Updated 5 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆351Updated 2 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆540Updated 4 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,049Updated 2 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆554Updated 6 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,619Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆642Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,003Updated 4 years ago
- Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"☆920Updated 5 years ago
- Papers for Bayesian-NN☆323Updated 5 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- PyTorch implementation of Contrastive Learning methods☆1,984Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,511Updated last month
- Official Code for Invertible Residual Networks☆527Updated 10 months ago