tata1661/FSL-Mate
A repository providing a curated paper list and PaddlePaddle-based library for few-shot learning research and implementation.

Not currently ranked — collecting fresh signals.
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FSL-Mate aggregates academic resources and tooling for few-shot learning, a machine learning approach that enables models to learn from minimal examples. It includes FewShotPapers, a comprehensive tracker of FSL research across top venues, and PaddleFSL, a Python library built on PaddlePaddle for implementing few-shot learning algorithms.
Frequently asked
- What is tata1661/FSL-Mate?
- A repository providing a curated paper list and PaddlePaddle-based library for few-shot learning research and implementation.
- Is FSL-Mate open source?
- Yes — tata1661/FSL-Mate is an open-source project tracked on heatdrop.
- What language is FSL-Mate written in?
- tata1661/FSL-Mate is primarily written in Python.
- How popular is FSL-Mate?
- tata1661/FSL-Mate has 1.8k stars on GitHub.
- Where can I find FSL-Mate?
- tata1661/FSL-Mate is on GitHub at https://github.com/tata1661/FSL-Mate.