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
β126Updated 2 years ago
Alternatives and similar repositories for disent
Users that are interested in disent are comparing it to the libraries listed below
Sorting:
- Disentanglement library for PyTorchβ276Updated 3 years ago
- β17Updated last year
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".β90Updated 10 months ago
- Multimodal Mixture-of-Experts VAEβ204Updated last year
- Ladder Variational Autoencoders (LVAE) in PyTorchβ91Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)β84Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"β30Updated 3 years ago
- A curated list of techniques to avoid posterior collapseβ87Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalizationβ63Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"β287Updated 4 years ago
- β122Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020β87Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Styleβ51Updated 3 years ago
- A minimalist implementation of score-based diffusion modelβ127Updated 3 years ago
- Package for working with hypernetworks in PyTorch.β123Updated last year
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAEβ92Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"β423Updated 2 years ago
- A Ο-VAE implementation in PyTorchβ97Updated 3 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Diseβ¦β74Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"β87Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"β49Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"β24Updated last year
- β25Updated last year
- VAEs and nonlinear ICA: a unifying frameworkβ35Updated 4 years ago
- Code for Diff-SCM paperβ96Updated last year
- Discrete Normalizing Flows implemented in PyTorchβ113Updated 3 years ago
- VAEs and nonlinear ICA: a unifying frameworkβ47Updated 5 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"β41Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)β77Updated 3 years ago
- This code implements sparse coding in PyTorch with GPU support.β30Updated 4 years ago