GraphCanon updated Oct 2, 2026 · GitHub synced Oct 2, 2026
42views this month
Decision brief
Learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks.
Good fit when
- When focusing on few-shot learning scenarios
- For experimenting with MAML and similar meta-learning algorithms
Avoid when
- If the project does not require PyTorch
- For traditional machine learning problems without the need for meta-learning
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (289d since push)
- As of Oct 2, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 2, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install learn2learnSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides tools and algorithms for meta-learning research in Python using the PyTorch framework.
Capability facts
- Languages
- python
Source: github.language · Oct 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 2, 2026)
pip install learn2learnSource link
Tags
README
Installation bash pip install learn2learn
For agents
This page has a .md twin and JSON over the API.