dido1998 / Recurrent-Independent-MechanismsLinks
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
☆101Updated 3 years ago
Alternatives and similar repositories for Recurrent-Independent-Mechanisms
Users that are interested in Recurrent-Independent-Mechanisms are comparing it to the libraries listed below
Sorting:
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆116Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆49Updated 4 years ago
- ☆78Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 5 years ago
- ☆79Updated 7 months ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 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 5 years ago
- Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural …☆28Updated 5 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ☆54Updated 6 years ago
- Self-attentive Associative Memory & SAM-based Two-Memory Model☆59Updated 3 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆196Updated 2 years ago
- ☆32Updated 3 years ago