Our verdict
We have not reviewed learn2learn yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About learn2learn
learn2learn is a PyTorch library that provides building blocks and algorithms for meta-learning research. It offers implementations of popular meta-learning methods such as MAML, Reptile, and ProtoNets, along with utilities for few-shot learning and hyperparameter optimization. The library is designed to help researchers quickly prototype and benchmark meta-learning models.
Best for
Researchers and students exploring meta-learning techniques in PyTorch
Use cases
- Implementing few-shot classification and regression tasks
- Benchmarking meta-learning algorithms on standard datasets
- Prototyping custom meta-learning approaches with PyTorch
Notes
2,883 stars on GitHub. Last updated 2025-12-16. Licensed MIT.
Pros
- Well-documented and actively maintained with over 2,800 GitHub stars
- Provides a unified interface for multiple meta-learning algorithms
- Seamlessly integrates with the PyTorch ecosystem
Cons
- Limited to PyTorch, not compatible with other deep learning frameworks
- Steep learning curve for users unfamiliar with meta-learning concepts
- Not designed for production deployment; focused on research and experimentation
Key facts
What we have checked
- Latest version
- 0.2.1 (released 27 June 2023)
- GitHub stars
- 2,894
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How learn2learn is growing
2,883 to 2,894
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.2.1
Released 0.2.0
Released 0.1.7
Released 0.1.6
Released 0.1.5
Released 0.1.4
Released 0.1.3
Released 0.1.2
Released 0.1.1
Released 0.1.0.1
Pairs with
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