few-shot-learning

There are 89 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 14070
zhaoxin94 / awesome-domain-adaptation
A collection of AWESOME things about domain adaptation
transfer-learning domain-adaptation adversarial-learning image-translation awesome-list paper zero-shot-learning few-shot-learning optimal-transport
5332
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 few-shot-learning gpt gpt-3 openai prompt promptengineering text-to-image text-to-speech text-to-video prompt-engineering prompt-generator prompt-learning prompt-toolkit prompt-tuning prompt-based-learning deep-learning machine-learning
Language:Python 4936
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
3204
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
2630
huggingface / setfit
Efficient few-shot learning with Sentence Transformers
few-shot-learning nlp sentence-transformers
Language:Jupyter Notebook 2563
tristandeleu / pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
few-shot-learning meta-learning pytorch
Language:Python 2045
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 1753
sudharsan13296 / Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
deep-meta-learning few-shot-learning meta-reinforcement metalearning one-shot-learning zero-shot-learning
1529
finetuner
jina-ai / finetuner
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
fine-tuning pretrained-models few-shot-learning negative-sampling metric-learning siamese-network triplet-loss transfer-learning jina neural-search finetuning similarity-learning bert openai-clip
Language:Python 1508
hendrycks / test
Measuring Massive Multitask Language Understanding | ICLR 2021
muti-task transfer-learning gpt-3 few-shot-learning
Language:Python 1492
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.
few-shot-learning few-shot-recognition few-shot-classifcation meta-learning machine-learning pytorch image-classification deep-learning
Language:Python 1247
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 1246
oscarknagg / few-shot
Repository for few-shot learning machine learning projects
few-shot-learning machine-learning maml meta-learning miniimagenet omniglot pytorch research
Language:Python 1240
sudharsan13296 / Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
deep-meta-learning few-shot-learning keras maml mann matching-networks meta-imitation-learning meta-sgd metalearning ntm one-shot-learning prototypical-network prototypical-networks reinforcement-learning relation-network reptile shot-learning siamese-network tensorflow zero-shot-learning
Language:Jupyter Notebook 1197
ucbdrive / few-shot-object-detection
Implementations of few-shot object detection benchmarks
few-shot-learning few-shot-object-detection icml-2020
Language:Python 1145
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 1064
RL-VIG / LibFewShot
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
few-shot-learning fine-tuning image-classification meta-learning pytorch
Language:Python 1044
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
1008
Duan-JM / awesome-papers-fewshot
Collection for Few-shot Learning
awesome-list few-shot-learning meta-learning shot-learning
Language:TeX 984
THUDM / P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
few-shot-learning natural-language-processing p-tuning parameter-efficient-learning pre-trained-language-models prompt-tuning
Language:Python 935
ttengwang / Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
prompt-learning adapter few-shot-learning prompt-tuning zero-shot-learning visual-prompt parameter-efficient-tuning
917
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:Jupyter Notebook 789
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 761
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 736
thunlp / FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
natural-language-processing few-shot-learning relation-extraction
Language:Python 732
princeton-nlp / LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
few-shot-learning language-models lm-bff
Language:Python 729
open-mmlab / mmfewshot
OpenMMLab FewShot Learning Toolbox and Benchmark
few-shot-learning openmmlab pytorch
Language:Python 723
zhengli97 / Awesome-Prompt-Adapter-Learning-for-VLMs
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
paper-list prompt-learning vision-language-model adapter-learning few-shot-classifcation few-shot-learning zero-shot-learning
670
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 664
mbs0221-mlsys / Multitask-Learning
Awesome Multitask Learning Resources
convex-optimization deep-learning domain-adaptation federated-learning few-shot-learning machine-learning meta-learning multi-task-learning sparse-learning transfer-learning
659
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 631
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 542
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 507
CLUEbenchmark / FewCLUE
FewCLUE 小样本学习测评基准，中文版
benchmark bert chinese clue few-shot-learning fewclue gpt3 pet ptuning
Language:Python 506
ShuoYang-1998 / Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
few-shot-classifcation few-shot-learning
Language:Python 473

few-shot-learning

jindongwang / transferlearning

zhaoxin94 / awesome-domain-adaptation

promptslab / Awesome-Prompt-Engineering

DSXiangLi / DecryptPrompt

floodsung / Meta-Learning-Papers

huggingface / setfit

tristandeleu / pytorch-meta

tata1661 / FSL-Mate

sudharsan13296 / Awesome-Meta-Learning

jina-ai / finetuner

hendrycks / test

sicara / easy-few-shot-learning

MedMNIST / MedMNIST

oscarknagg / few-shot

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

ucbdrive / few-shot-object-detection

floodsung / LearningToCompare_FSL

RL-VIG / LibFewShot

quqxui / Awesome-LLM4IE-Papers

Duan-JM / awesome-papers-fewshot

THUDM / P-tuning

ttengwang / Awesome_Prompting_Papers_in_Computer_Vision

google-research / meta-dataset

yaoyao-liu / meta-transfer-learning

madaan / self-refine

thunlp / FewRel

princeton-nlp / LM-BFF

open-mmlab / mmfewshot

zhengli97 / Awesome-Prompt-Adapter-Learning-for-VLMs

clue-ai / PromptCLUE

mbs0221-mlsys / Multitask-Learning

yinboc / few-shot-meta-baseline

kjunelee / MetaOptNet

reasoning-machines / pal

CLUEbenchmark / FewCLUE

ShuoYang-1998 / Few_Shot_Distribution_Calibration