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
β134Mar 7, 2026Updated 2 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 representationsβ840Feb 2, 2023Updated 3 years ago
- β79Apr 17, 2025Updated last year
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Diseβ¦β78Feb 25, 2023Updated 3 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.β1,428May 16, 2021Updated 5 years ago
- β17Oct 13, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Explainable Interactive Concept Learningβ15Mar 26, 2023Updated 3 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"β15May 2, 2023Updated 3 years ago
- VAEs and nonlinear ICA: a unifying frameworkβ50Jul 8, 2019Updated 6 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Codingβ73Nov 17, 2021Updated 4 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methodsβ534Jan 3, 2021Updated 5 years ago
- β35Jun 22, 2021Updated 4 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)β1,992Jul 31, 2024Updated last year
- β33Jan 8, 2021Updated 5 years ago
- β19Jan 12, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI β’ AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Incrementβ¦β20Mar 22, 2022Updated 4 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"β31Jan 18, 2022Updated 4 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Styleβ54Jan 12, 2022Updated 4 years ago
- Multifactor Sequential Disentanglement via Structured Koopman Autoencodersβ20Dec 2, 2024Updated last year
- Official codebase for the "A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts" benchmark paper.β11Feb 3, 2025Updated last year
- Optimisation on Diffeomorphismsβ12Feb 17, 2025Updated last year
- REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASRβ15Dec 11, 2024Updated last year
- [NeurIPS'22] PyTorch library to compare similarity between NN representationsβ13Feb 27, 2025Updated last year
- π€ [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inferenceβ18Dec 11, 2025Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- β21Dec 21, 2022Updated 3 years ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learningβ35Feb 27, 2024Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020β88Aug 31, 2021Updated 4 years ago
- β18Aug 23, 2019Updated 6 years ago
- This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"β15Feb 13, 2021Updated 5 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-paβ¦β24Nov 22, 2020Updated 5 years ago
- Attend Infer Repeat (AIR) in PyTorchβ22Jul 25, 2024Updated last year
- A large-scale benchmark for the evaluation of embeddings across a number of fine-grained and instance-level visual domains.β17Jun 14, 2024Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networksβ12May 9, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CAIPI turns LIMEs into trust!β12May 30, 2020Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".β354Aug 31, 2022Updated 3 years ago
- Implementation of Taming Transformers for High-Resolution Image Synthesis (https://arxiv.org/abs/2012.09841) in PyTorchβ16Dec 28, 2020Updated 5 years ago
- β11Oct 9, 2022Updated 3 years ago
- A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.β72Jul 24, 2022Updated 3 years ago
- Dynamical systems methods for RNA velocity analysisβ24May 19, 2021Updated 5 years ago
- A Disentangling Invertible Interpretation Networkβ123May 12, 2021Updated 5 years ago