nmichlo / disentLinks
π§Ά Modular VAE disentanglement framework for python built with PyTorch Lightning βΈ Including metrics and datasets βΈ With strongly supervised, weakly supervised and unsupervised methods βΈ Easily configured and run with Hydra config βΈ Inspired by disentanglement_lib
β132Updated 2 years ago
Alternatives and similar repositories for disent
Users that are interested in disent are comparing it to the libraries listed below
Sorting:
- Multimodal Mixture-of-Experts VAEβ221Updated 2 years ago
- Disentanglement library for PyTorchβ282Updated 3 years ago
- β18Updated 2 years ago
- Package for working with hypernetworks in PyTorch.β131Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"β31Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020β87Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorchβ92Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.β78Updated 4 years ago
- Causal Variational AutoEncodersβ29Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"β290Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"β430Updated 3 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".β92Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)β85Updated 3 years ago
- Optimal Transport Dataset Distanceβ174Updated 3 years ago
- A curated list of techniques to avoid posterior collapseβ88Updated 3 years ago
- A minimalist implementation of score-based diffusion modelβ128Updated 4 years ago
- β125Updated 3 years ago
- VAEs and nonlinear ICA: a unifying frameworkβ40Updated 5 years ago
- β252Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Styleβ54Updated 4 years ago
- β25Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAEβ93Updated 5 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"β41Updated 3 years ago
- A Ο-VAE implementation in PyTorchβ102Updated 4 years ago
- code for "Continuous Hierarchical Representations with PoincarΓ© Variational Auto-Encoders".β130Updated 2 years ago
- Code for Neural Manifold Clustering and Embeddingβ62Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and imagesβ236Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)β244Updated 7 years ago
- Experiments for understanding disentanglement in VAE latent representationsβ839Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalizationβ63Updated 3 years ago