Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A collection of AWESOME things about domian adaptation

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

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).

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

Measuring Massive Multitask Language Understanding | ICLR 2021

Repository for few-shot learning machine learning projects

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Implementations of few-shot object detection benchmarks

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

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

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''.