few-shot-learning

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

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

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.

Efficient few-shot learning with Sentence Transformers

Repository for few-shot learning machine learning projects

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

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

🎯 Task-oriented finetuning for better embeddings on neural search

Implementations of few-shot object detection benchmarks

Collection for Few-shot Learning

18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: pip install medmnist

A dataset of datasets for learning to learn from few examples

A Large-Scale Few-Shot Relation Extraction Dataset

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

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

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