🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
☆135Mar 7, 2026Updated 3 months ago
Alternatives and similar repositories for disent
Users that are interested in disent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Experiments for understanding disentanglement in VAE latent representations☆840Feb 2, 2023Updated 3 years ago
- ☆81Apr 17, 2025Updated last year
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,434May 16, 2021Updated 5 years ago
- ☆17Oct 13, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Explainable Interactive Concept Learning☆15Mar 26, 2023Updated 3 years ago
- Reinforcement learning in pure JAX.☆13Dec 24, 2025Updated 5 months ago
- Variational inference and disentangled representations through unsupervised learning☆21Mar 2, 2020Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Jul 8, 2019Updated 6 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Nov 17, 2021Updated 4 years ago
- Simulate biological cells☆23Oct 23, 2025Updated 7 months ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆284Jun 28, 2018Updated 7 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,994Jul 31, 2024Updated last year
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Apr 24, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Self-supervised learning for microscopy images☆55Sep 16, 2019Updated 6 years ago
- ☆19Jan 12, 2024Updated 2 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆34Sep 23, 2022Updated 3 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆20Mar 22, 2022Updated 4 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Jan 12, 2022Updated 4 years ago
- Concept bottleneck models for multiview data with incomplete concept sets☆17Nov 24, 2023Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Oct 25, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR☆15Dec 11, 2024Updated last year
- 🤗 [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inference☆19Dec 11, 2025Updated 6 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆35Feb 27, 2024Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆88Aug 31, 2021Updated 4 years ago
- ☆18Aug 23, 2019Updated 6 years ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Feb 10, 2022Updated 4 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆24Nov 22, 2020Updated 5 years ago
- Attend Infer Repeat (AIR) in PyTorch☆22Jul 25, 2024Updated last year
- A large-scale benchmark for the evaluation of embeddings across a number of fine-grained and instance-level visual domains.☆17Jun 14, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆355Aug 31, 2022Updated 3 years ago
- Dynamical systems methods for RNA velocity analysis☆24May 19, 2021Updated 5 years ago
- A Disentangling Invertible Interpretation Network☆123May 12, 2021Updated 5 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆843Jul 11, 2021Updated 4 years ago
- Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data☆19Aug 7, 2024Updated last year
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Feb 10, 2022Updated 4 years ago
- Aligned Diffusion Schroedinger Bridges (UAI 2023)☆33Oct 1, 2023Updated 2 years ago