# GT-RIPL/Continual-Learning-Benchmark

<https://repo.masters-masters.com/en/repos/GT-RIPL/Continual-Learning-Benchmark>

[Home](https://repo.masters-masters.com/en) › [GT-RIPL](https://repo.masters-masters.com/en/owners/GT-RIPL) › [Continual-Learning-Benchmark](https://repo.masters-masters.com/en/repos/GT-RIPL/Continual-Learning-Benchmark)

GT-RIPL/Continual-Learning-Benchmark has 530 stars on GitHub. Its RepoMasters card: Alpha tier. Evaluate three types of task shifting with popular continual…

| Field | Value |
| --- | --- |
| Owner | [GT-RIPL](https://repo.masters-masters.com/en/owners/GT-RIPL) |
| Stars | 530 |
| Forks | 89 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | continual-learning, continuous-learning, lifelong-learning, incremental-learning, deep-learning, artificial-neural-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [GT-RIPL/Continual-Learning-Benchmark](https://github.com/GT-RIPL/Continual-Learning-Benchmark) |

## Repository

Evaluate three types of task shifting with popular continual learning algorithms.

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.