lebrice / Sequoia
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
☆191Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Sequoia
- Benchmark for Lifelong learning research☆118Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆162Updated 2 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆143Updated 3 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆103Updated 2 years ago
- Avalanche fork adding RL support☆69Updated last year
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆195Updated 3 months ago
- A Neuromodulated Meta-Learning algorithm☆113Updated 4 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 2 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated 10 months ago
- Code for "Supermasks in Superposition"☆117Updated last year
- A repository to keep track of literature on catastrophic forgetting☆36Updated 4 years ago
- The PackNet Continual Learning Method in Pytorch☆14Updated 3 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆98Updated last year
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆98Updated 2 years ago
- CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!☆60Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆98Updated 4 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Implementation of the variational continual learning method☆188Updated 5 years ago
- A clean and simple data loading library for Continual Learning☆416Updated last year
- Evaluate three types of task shifting with popular continual learning algorithms.☆508Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆53Updated 4 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆156Updated 7 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- Meta-Learning with Warped Gradient Descent☆92Updated 3 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆89Updated last year
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆201Updated 3 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆261Updated 9 months ago