lebrice / Sequoia
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
☆190Updated last year
Related projects: ⓘ
- Avalanche fork adding RL support☆67Updated last year
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆159Updated 2 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆143Updated 3 years ago
- Benchmark for Lifelong learning research☆118Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆113Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆193Updated last month
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆102Updated 2 years ago
- Code for "Supermasks in Superposition"☆115Updated 11 months ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 2 years ago
- Implementation of the variational continual learning method☆187Updated 5 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆97Updated 2 years ago
- A repository to keep track of literature on catastrophic forgetting☆36Updated 4 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆97Updated last year
- Meta-Learning with Warped Gradient Descent☆92Updated 3 years ago
- CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!☆60Updated last year
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆153Updated 6 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 11 months ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated 8 months ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆506Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆196Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆202Updated 5 years ago
- ☆41Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆118Updated 3 months ago
- Understanding Training Dynamics of Deep ReLU Networks☆272Updated last week
- Memory efficient MAML using gradient checkpointing☆84Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆204Updated last month
- A library for evaluating representations.☆76Updated 2 years ago