tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
This is a resource for machine learning researchers and practitioners who are working on few-shot learning (FSL). It provides a curated list of research papers to track advances in FSL and a Python library based on PaddlePaddle for implementing FSL models. Researchers can use this to stay updated on the latest FSL techniques and build models with limited data.
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Use this if you are a machine learning researcher or developer focusing on few-shot learning and need to access the latest research or a specific development library.
Not ideal if you are looking for a general machine learning resource or don't have experience with PaddlePaddle for model development.
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Oct 14, 2025
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