RL-VIG/LibFewShot
A PyTorch library for few-shot learning that implements 30+ methods including MAML, ProtoNet, and RFS for low-shot image classification.
Not currently ranked — collecting fresh signals.
star history
LibFewShot provides a unified framework for few-shot learning research, implementing methods across three paradigms: non-episodic fine-tuning approaches, meta-learning algorithms like MAML and MatchingNet, and metric-learning methods such as ProtoNet and RelationNet. The library standardizes benchmarking across standard few-shot datasets (miniImageNet, TieredImageNet, CUB) and is published in IEEE TPAMI 2023.
Frequently asked
- What is RL-VIG/LibFewShot?
- A PyTorch library for few-shot learning that implements 30+ methods including MAML, ProtoNet, and RFS for low-shot image classification.
- Is LibFewShot open source?
- Yes — RL-VIG/LibFewShot is open source, released under the MIT license.
- What language is LibFewShot written in?
- RL-VIG/LibFewShot is primarily written in Python.
- How popular is LibFewShot?
- RL-VIG/LibFewShot has 1.1k stars on GitHub.
- Where can I find LibFewShot?
- RL-VIG/LibFewShot is on GitHub at https://github.com/RL-VIG/LibFewShot.