Experiments for understanding disentanglement in VAE latent representations
dsprites 开源项目推荐(11 个)
dsprites 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 11
GitHub 共 11 个仓库,已全部展示Pytorch implementation of β-VAE
Dataset to assess the disentanglement properties of unsupervised learning methods
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Replicating "Understanding disentangling in β-VAE"
Deep active inference agents using Monte-Carlo methods
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.
ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis
Generation of sprite dataset used when testing disentangled models.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 11 个项目;原始页面见 https://github.com/topics/dsprites。
- 该话题在 GitHub 上共有 11 个仓库, 本站收录的是其中最热门的 11 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 11 个项目累计 2617 Star,覆盖 2 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。