few-shot-learning

There are 85 repositories under few-shot-learning topic.

transferlearning
jindongwang / transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
transferlearning domain-adaptation transfer-learning survey deep-learning generalization few-shot tutorial-code theory papers few-shot-learning meta-learning domain-generalization representation-learning unsupervised-learning machine-learning self-supervised-learning paper style-transfer domain-adaption
Language:Python 12939
zhaoxin94 / awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
transfer-learning domain-adaptation adversarial-learning image-translation awesome-list paper zero-shot-learning few-shot-learning optimal-transport
4910
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
chatgpt chatgpt-api deep-learning few-shot-learning gpt gpt-3 machine-learning openai prompt prompt-based-learning prompt-engineering prompt-generator prompt-learning prompt-toolkit prompt-tuning promptengineering text-to-image text-to-speech text-to-video
Language:Python 3282
floodsung / Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
deep-learning meta-learning one-shot-learning learning-to-learn few-shot-learning
2597
DSXiangLi / DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
demonstration in-context-learning prompt few-shot-learning zero-shot-learning aigc papers prompt-tuning instruction-tuning chain-of-thought chatgpt llm llm-agent prompt-engineering
2168
huggingface / setfit
Efficient few-shot learning with Sentence Transformers
few-shot-learning nlp sentence-transformers
Language:Jupyter Notebook 2015
tristandeleu / pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
pytorch meta-learning few-shot-learning
Language:Python 1940
FSL-Mate
tata1661 / FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
few-shot-learning one-shot-learning meta-learning low-shot deep-learning papers few-shot-paper few-shot-papers paper paddlepaddle few-shot
Language:Python 1651
sudharsan13296 / Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
metalearning one-shot-learning zero-shot-learning few-shot-learning deep-meta-learning meta-reinforcement
1471
finetuner
jina-ai / finetuner
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
bert few-shot-learning fine-tuning finetuning jina metric-learning negative-sampling neural-search openai-clip pretrained-models siamese-network similarity-learning transfer-learning triplet-loss
Language:Python 1435
oscarknagg / few-shot
Repository for few-shot learning machine learning projects
machine-learning pytorch few-shot-learning research meta-learning maml omniglot miniimagenet
Language:Python 1170
sudharsan13296 / Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
metalearning maml reptile meta-sgd tensorflow ntm mann one-shot-learning few-shot-learning matching-networks siamese-network prototypical-networks relation-network deep-meta-learning meta-imitation-learning keras shot-learning prototypical-network reinforcement-learning zero-shot-learning
Language:Jupyter Notebook 1141
ucbdrive / few-shot-object-detection
Implementations of few-shot object detection benchmarks
few-shot-object-detection few-shot-learning icml-2020
Language:Python 1065
floodsung / LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
few-shot-learning meta-learning
Language:Python 1041
MedMNIST
MedMNIST / MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
dataset benchmark automl mnist medical medical-image-analysis medmnist multi-modal decathlon medical-imaging medical-image-computing deep-learning machine-learning 3d 2d classification few-shot-learning pytorch federated-learning
Language:Python 980
hendrycks / test
Measuring Massive Multitask Language Understanding | ICLR 2021
few-shot-learning gpt-3 muti-task transfer-learning
Language:Python 977
Duan-JM / awesome-papers-fewshot
Collection for Few-shot Learning
awesome-list shot-learning meta-learning few-shot-learning
Language:TeX 952
easy-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.
deep-learning few-shot-classifcation few-shot-learning few-shot-recognition image-classification machine-learning meta-learning pytorch
Language:Python 925
THUDM / P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
natural-language-processing pre-trained-language-models prompt-tuning p-tuning parameter-efficient-learning few-shot-learning
Language:Python 896
ttengwang / Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
adapter few-shot-learning parameter-efficient-tuning prompt-learning prompt-tuning visual-prompt zero-shot-learning
862
RL-VIG / LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
few-shot-learning fine-tuning image-classification meta-learning pytorch
Language:Python 836
google-research / meta-dataset
A dataset of datasets for learning to learn from few examples
machine-learning meta-learning few-shot-learning tensorflow benchmark maml
Language:Python 739
meta-transfer-learning
yaoyao-liu / meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
few-shot-learning fewshot-cifar100 meta-learning mini-imagenet tiered-imagenet transfer-learning
Language:Python 722
thunlp / FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
natural-language-processing few-shot-learning relation-extraction
Language:Python 718
princeton-nlp / LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
lm-bff language-models few-shot-learning
Language:Python 710
open-mmlab / mmfewshot
OpenMMLab FewShot Learning Toolbox and Benchmark
pytorch openmmlab few-shot-learning
Language:Python 666
clue-ai / PromptCLUE
PromptCLUE, 全中文任务支持零样本学习模型
chinese gpt-3 multitask-learning pretrained-models t5-model zero-shot-learning few-shot-learning transfer-learning bert prompt-tuning roberta
Language:Jupyter Notebook 640
mbs0221 / Multitask-Learning
Awesome Multitask Learning Resources
multi-task-learning deep-learning sparse-learning domain-adaptation transfer-learning meta-learning few-shot-learning convex-optimization federated-learning machine-learning
625
yinboc / few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
few-shot-learning machine-learning pytorch
Language:Python 588
kjunelee / MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
meta-learning few-shot convex-optimization few-shot-learning image-classification few-shot-recognition cvpr2019 metalearning
Language:Python 516
self-refine
madaan / self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
few-shot-learning language-generation large-language-models llms prompting reasoning chatgpt gpt-35 gpt-4 prompts
Language:Python 498
CLUEbenchmark / FewCLUE
FewCLUE 小样本学习测评基准，中文版
fewclue clue benchmark chinese few-shot-learning ptuning pet gpt3 bert
Language:Python 482
ShuoYang-1998 / Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
few-shot-classifcation few-shot-learning
Language:Python 466
quqxui / Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
cross-domain-learning data-augmentation event-arguments event-detection event-extraction few-shot-learning in-context-learning information-extraction knowledge-graph-construction large-language-models named-entity-recognition relation-extraction zero-shot-learning
449
reasoning-machines / pal
PaL: Program-Aided Language Models (ICML 2023)
commonsense-reasoning few-shot-learning language-generation language-model large-language-models reasoning
Language:Python 438
yaoyao-liu / mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
miniimagenet few-shot-learning few-shot mini-imagenet imagenet dataset meta-learning one-shot-learning
Language:Python 412

few-shot-learning

jindongwang / transferlearning

zhaoxin94 / awesome-domain-adaptation

promptslab / Awesome-Prompt-Engineering

floodsung / Meta-Learning-Papers

DSXiangLi / DecryptPrompt

huggingface / setfit

tristandeleu / pytorch-meta

tata1661 / FSL-Mate

sudharsan13296 / Awesome-Meta-Learning

jina-ai / finetuner

oscarknagg / few-shot

sudharsan13296 / Hands-On-Meta-Learning-With-Python

ucbdrive / few-shot-object-detection

floodsung / LearningToCompare_FSL

MedMNIST / MedMNIST

hendrycks / test

Duan-JM / awesome-papers-fewshot

sicara / easy-few-shot-learning

THUDM / P-tuning

ttengwang / Awesome_Prompting_Papers_in_Computer_Vision

RL-VIG / LibFewShot

google-research / meta-dataset

yaoyao-liu / meta-transfer-learning

thunlp / FewRel

princeton-nlp / LM-BFF

open-mmlab / mmfewshot

clue-ai / PromptCLUE

mbs0221 / Multitask-Learning

yinboc / few-shot-meta-baseline

kjunelee / MetaOptNet

madaan / self-refine

CLUEbenchmark / FewCLUE

ShuoYang-1998 / Few_Shot_Distribution_Calibration

quqxui / Awesome-LLM4IE-Papers

reasoning-machines / pal

yaoyao-liu / mini-imagenet-tools