few-shot-learning
There are 601 repositories under few-shot-learning topic.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
DSXiangLi/DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
huggingface/setfit
Efficient few-shot learning with Sentence Transformers
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
jina-ai/finetuner
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
ucbdrive/few-shot-object-detection
Implementations of few-shot object detection benchmarks
floodsung/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
hendrycks/test
Measuring Massive Multitask Language Understanding | ICLR 2021
MedMNIST/MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Duan-JM/awesome-papers-fewshot
Collection for Few-shot Learning
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
ttengwang/Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
RL-VIG/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
thunlp/FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
princeton-nlp/LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
open-mmlab/mmfewshot
OpenMMLab FewShot Learning Toolbox and Benchmark
clue-ai/PromptCLUE
PromptCLUE, 全中文任务支持零样本学习模型
mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
yinboc/few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
madaan/self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
quqxui/Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
CLUEbenchmark/FewCLUE
FewCLUE 小样本学习测评基准，中文版
ShuoYang-1998/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
reasoning-machines/pal
PaL: Program-Aided Language Models (ICML 2023)
yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches