ContinualAI/continual-learning-baselines

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Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Stars: 358
Forks: 48
Open beginner issues: 0
Indexed issues: 19

Dominant language: Python
License: MIT
Last GitHub push: Feb 20, 2024
Latest indexed: Sep 15, 2026
Contributing guide: No contributing guide
Code of conduct: No code of conduct
Beginner labels: No beginner labels indexed
PR merge metrics: No merged PRs in 30d

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19 open issues indexed

Reproduce AR1* results Open

ContinualAI/continual-learning-baselines#5 · 3 comments · 1 reaction · 1 assignee · Indexed Sep 15, 2026
Reproduce CWR* results Open

ContinualAI/continual-learning-baselines#6 · 1 comment · 1 reaction · 1 assignee · Indexed Sep 15, 2026
Close the performance gap for available strategy Open

ContinualAI/continual-learning-baselines#33 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Table notation for reproducibility Open

ContinualAI/continual-learning-baselines#35 · 10 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
One Little Typo in experiments.slipt_mnist.naive Open

ContinualAI/continual-learning-baselines#73 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Synaptic Intelligence vs Naive Finetuning Comparison Open

ContinualAI/continual-learning-baselines#74 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#75 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Reproduce L2P result Open

ContinualAI/continual-learning-baselines#76 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#77 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#78 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#79 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#80 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#81 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#82 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#83 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Two Different Buffers Are Used On LaMAML Strategy Open

ContinualAI/continual-learning-baselines#84 · 1 comment · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Active Learning Method for Experience Sampling Open

ContinualAI/continual-learning-baselines#86 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#87 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Experiments failed to be reproduced Open

ContinualAI/continual-learning-baselines#88 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026

ContinualAI/continual-learning-baselines

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