imirzadeh / CL-Gym
CL-Gym: Full-Featured PyTorch Library for Continual Learning
☆40Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for CL-Gym
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆27Updated 3 years ago
- The PackNet Continual Learning Method in Pytorch☆14Updated 3 years ago
- ☆23Updated 3 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 2 years ago
- ☆38Updated this week
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆43Updated last year
- Model Zoos for Continual Learning (ICLR 22)☆40Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- Code for "Supermasks in Superposition"☆116Updated last year
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆43Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆72Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆102Updated 2 years ago
- ☆46Updated 3 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated last year
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆81Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆53Updated 2 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated last year
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆73Updated last year
- ☆70Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆93Updated last year
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆30Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆74Updated last year
- ☆35Updated 3 years ago