Popular GitHub Repositories for Few Shot Learning

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Efficient few-shot learning with Sentence Transformers

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

FSL-Mate: A collection of resources for few-shot learning (FSL).

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Repository for few-shot learning machine learning projects

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

Collection for Few-shot Learning

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

A curated list of prompt-based paper in computer vision and vision-language learning.

A dataset of datasets for learning to learn from few examples

A Large-Scale Few-Shot Relation Extraction Dataset

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

PromptCLUE, 全中文任务支持零样本学习模型

Awesome Multitask Learning Resources

A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.

FewCLUE 小样本学习测评基准，中文版

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"