☆90Jun 24, 2019Updated 6 years ago
Alternatives and similar repositories for disentangling-disentanglement
Users that are interested in disentangling-disentanglement are comparing it to the libraries listed below
Sorting:
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 5 years ago
- Disentanglement library for PyTorch☆282May 8, 2022Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆841Feb 2, 2023Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆353Aug 31, 2022Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Jul 6, 2023Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Apr 2, 2019Updated 6 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,420May 16, 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
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Jul 24, 2020Updated 5 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆22Aug 22, 2019Updated 6 years ago
- ☆17May 28, 2018Updated 7 years ago
- ☆37Jul 1, 2020Updated 5 years ago
- ☆18Apr 1, 2020Updated 5 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆840Jul 11, 2021Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Aug 21, 2019Updated 6 years ago
- Pytorch implementation of β-VAE☆568Dec 29, 2020Updated 5 years ago
- Quantitative evaluation of disentangled representations☆63Mar 18, 2018Updated 7 years ago
- polygenic scores using variational inference on GWAS summary statistics from multiple cohorts☆11Dec 7, 2022Updated 3 years ago
- ☆10Jan 8, 2018Updated 8 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Jan 15, 2020Updated 6 years ago
- CEVAE(Causal Effect Variational AutoEncoder) written with pytorch and pyro.☆10Feb 15, 2021Updated 5 years ago
- ☆11May 27, 2023Updated 2 years ago
- 一个尝试固液耦合的沙盒玩具☆12Feb 17, 2025Updated last year
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆30Jul 20, 2022Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- an tensorflow implemention of 3D-VAE-GAN for single image 3D reconstruction☆15Dec 21, 2018Updated 7 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 5 years ago
- ☆12Jun 12, 2023Updated 2 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆50Oct 1, 2020Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Dec 8, 2022Updated 3 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆74Aug 19, 2019Updated 6 years ago
- VAEs on Sparse Data☆12Oct 15, 2017Updated 8 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆209Jul 1, 2020Updated 5 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆528Jan 3, 2021Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆284Dec 14, 2023Updated 2 years ago
- A convenient package for the lazy torch programmer to leave all your :cuda() calls as-is when running on CPU☆14Apr 27, 2015Updated 10 years ago