# cnguyen10/few\_shot\_meta\_learning

<https://repo.masters-masters.com/en/repos/cnguyen10/few_shot_meta_learning>

[Home](https://repo.masters-masters.com/en) › [cnguyen10](https://repo.masters-masters.com/en/owners/cnguyen10) › [few\_shot\_meta\_learning](https://repo.masters-masters.com/en/repos/cnguyen10/few_shot_meta_learning)

cnguyen10/few\_shot\_meta\_learning has 257 stars on GitHub. Its RepoMasters card: Alpha tier. Implementations of many meta-learning algorithms to solve the…

| Field | Value |
| --- | --- |
| Owner | [cnguyen10](https://repo.masters-masters.com/en/owners/cnguyen10) |
| Stars | 257 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | meta-learning, maml, prototypical-network, pytorch, algorithms |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [cnguyen10/few\_shot\_meta\_learning](https://github.com/cnguyen10/few_shot_meta_learning) |

## Repository

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

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.