anirudh9119 / RIMsLinks
Code for "Recurrent Independent Mechanisms"
☆118Updated 3 years ago
Alternatives and similar repositories for RIMs
Users that are interested in RIMs are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆101Updated 3 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆105Updated 5 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- ☆80Updated 2 years ago
- ☆78Updated 4 years ago
- ☆79Updated 6 months ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 6 years ago
- ☆67Updated 5 years ago
- Hypergradient descent☆148Updated last year
- Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural …☆28Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- ☆65Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago