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

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

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).

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

Repository for few-shot learning machine learning projects

Measuring Massive Multitask Language Understanding | ICLR 2021

Implementations of few-shot object detection benchmarks

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

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

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

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

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

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

A Large-Scale Few-Shot Relation Extraction Dataset

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

OpenMMLab FewShot Learning Toolbox and Benchmark

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

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)