🧶 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
☆134Mar 7, 2026Updated 2 weeks 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☆841Feb 2, 2023Updated 3 years ago
- ☆79Apr 17, 2025Updated 11 months ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,422May 16, 2021Updated 4 years ago
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 6 months ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆15May 2, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Reinforcement learning in pure JAX.☆13Dec 24, 2025Updated 3 months 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
- Dataset to assess the disentanglement properties of unsupervised learning methods☆532Jan 3, 2021Updated 5 years ago
- ☆35Jun 22, 2021Updated 4 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆283Jun 28, 2018Updated 7 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,985Jul 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 7 years ago
- ☆19Jan 12, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Sep 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
- Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring official code☆11Jul 17, 2023Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Jan 12, 2022Updated 4 years ago
- Multifactor Sequential Disentanglement via Structured Koopman Autoencoders☆19Dec 2, 2024Updated last year
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Oct 25, 2020Updated 5 years ago
- Computer simulator of multiplex tissue images from a set of user-defined parameters☆10Dec 13, 2022Updated 3 years ago
- 🤗 [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inference☆19Dec 11, 2025Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆16May 30, 2025Updated 9 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆88Aug 31, 2021Updated 4 years ago
- ☆18Aug 23, 2019Updated 6 years ago
- This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"☆15Feb 13, 2021Updated 5 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
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12May 9, 2023Updated 2 years ago
- semi-reference-based short read compression☆11Mar 5, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- DE-STRESS is a model evaluation pipeline that aims to make protein design more reliable and accessible.☆31Mar 4, 2025Updated last year
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆353Aug 31, 2022Updated 3 years ago
- Code for NeurIPS 2023 paper "DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation".☆63Jul 22, 2024Updated last year
- A Disentangling Invertible Interpretation Network☆123May 12, 2021Updated 4 years ago
- Repository of published DNN speech separation recipes for a number of datasets☆12Jan 22, 2024Updated 2 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Feb 10, 2022Updated 4 years ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆40Feb 4, 2026Updated last month