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A collection of AWESOME things about domian adaptation

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.

[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.