# ContinualAI/continual-learning-baselines

<https://repo.masters-masters.com/en/repos/ContinualAI/continual-learning-baselines>

[Home](https://repo.masters-masters.com/en) › [ContinualAI](https://repo.masters-masters.com/en/owners/ContinualAI) › [continual-learning-baselines](https://repo.masters-masters.com/en/repos/ContinualAI/continual-learning-baselines)

ContinualAI/continual-learning-baselines has 356 stars on GitHub. Its RepoMasters card: Alpha tier. Continual learning baselines and strategies from popular…

| Field | Value |
| --- | --- |
| Owner | [ContinualAI](https://repo.masters-masters.com/en/owners/ContinualAI) |
| Stars | 356 |
| Forks | 47 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | continual-learning, lifelong-learning, assessment, experiments, literature, reproduction, synaptic-intelligence, elastic-weight-consolidation, ewc, gem |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ContinualAI/continual-learning-baselines](https://github.com/ContinualAI/continual-learning-baselines) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
