google-research / disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
☆1,397Updated 3 years ago
Alternatives and similar repositories for disentanglement_lib:
Users that are interested in disentanglement_lib are comparing it to the libraries listed below
- Experiments for understanding disentanglement in VAE latent representations☆809Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆801Updated 3 years ago
- A curated list of research papers related to learning disentangled representations☆463Updated 5 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆807Updated 5 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆496Updated 4 years ago
- Pytorch implementation of β-VAE☆536Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆349Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆578Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆463Updated 5 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆858Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,610Updated 2 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,044Updated 2 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆536Updated 3 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆704Updated 5 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆536Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 10 months ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆420Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,493Updated last month
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆637Updated 4 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆614Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆441Updated 6 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆547Updated 6 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,163Updated 10 months ago
- Vector Quantized VAEs - PyTorch Implementation☆891Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,966Updated last year
- Wasserstein Auto-Encoders☆506Updated 6 years ago
- Approximating Wasserstein distances with PyTorch☆457Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆269Updated 6 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆618Updated 2 years ago