rr-learning / disentanglement_datasetLinks
☆79Updated 8 months ago
Alternatives and similar repositories for disentanglement_dataset
Users that are interested in disentanglement_dataset are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆153Updated last year
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆59Updated 3 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆89Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆67Updated 6 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 3 years ago
- ☆238Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆21Updated 3 years ago
- ☆91Updated 6 years ago
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆144Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆79Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- ☆33Updated 4 years ago
- Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"☆104Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆181Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago