Frankluox/LightningFSL
LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.
This project offers a collection of few-shot learning models to help machine learning practitioners build classification systems that can learn effectively from very limited data. It takes image datasets with few examples per category as input and outputs highly accurate classification models. This is ideal for AI/ML engineers and researchers who need to develop robust image classification systems with minimal data.
114 stars. No commits in the last 6 months.
Use this if you need to build image classification models that perform well even when you only have a handful of examples for each category.
Not ideal if you are a non-technical user or prefer visual, drag-and-drop tools for machine learning model development.
Stars
114
Forks
16
Language
Python
License
MIT
Category
Last pushed
Dec 27, 2022
Commits (30d)
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