Few Shot Classifcation Python Packages

classy-classification

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

easyfsl

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

fusionsent

Repository of the ICNLSP 2024 paper "Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes"

proto-clip-toolkit

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning | IROS 2024

dynamic-prompting

Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.