rr-learning / disentanglement_datasetLinks
☆77Updated 2 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☆60Updated 3 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- ☆91Updated 6 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Disentanglement library for PyTorch☆278Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆142Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆89Updated 5 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆88Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆145Updated last year
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- ☆86Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- ☆26Updated 6 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆77Updated 5 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago