☆92Jun 24, 2019Updated 7 years ago
Alternatives and similar repositories for disentangling-disentanglement
Users that are interested in disentangling-disentanglement are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 6 years ago
- Experiments for understanding disentanglement in VAE latent representations☆843Feb 2, 2023Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Apr 2, 2019Updated 7 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆287Jun 28, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆355Aug 31, 2022Updated 4 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆22Aug 22, 2019Updated 7 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆90Jul 24, 2020Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Jul 6, 2023Updated 3 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,426May 16, 2021Updated 5 years ago
- ☆37Jul 1, 2020Updated 6 years ago
- ☆17May 28, 2018Updated 8 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- Code for Variational Laplace Autoencoders☆53Jul 6, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of iterative inference in deep latent variable models☆45Aug 21, 2019Updated 7 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆292Feb 1, 2021Updated 5 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Jan 15, 2020Updated 6 years ago
- VAEs on Sparse Data☆12Oct 15, 2017Updated 8 years ago
- Pytorch implementation of β-VAE☆573Dec 29, 2020Updated 5 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆21May 28, 2022Updated 4 years ago
- polygenic scores using variational inference on GWAS summary statistics from multiple cohorts☆11Dec 7, 2022Updated 3 years ago
- truncated Gaussian-Mixture Variational AutoEncoder☆11Mar 14, 2019Updated 7 years ago
- Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"☆15Aug 20, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Quantitative evaluation of disentangled representations☆63Mar 18, 2018Updated 8 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆32Jul 20, 2022Updated 4 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231May 6, 2018Updated 8 years ago
- CEVAE(Causal Effect Variational AutoEncoder) written with pytorch and pyro.☆10Feb 15, 2021Updated 5 years ago
- 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
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Jul 1, 2020Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆541Jan 3, 2021Updated 5 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆50Oct 1, 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.
- ☆239May 15, 2019Updated 7 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 6 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆12Oct 20, 2020Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- ☆11Jul 28, 2021Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆86Nov 28, 2018Updated 7 years ago
- Implementation of VLAE☆212Dec 21, 2017Updated 8 years ago