Topic: few-shot-learning Goto Github

👇 Here are 608 public repositories matching this topic...

adapt-python / adapt
few-shot-learning,Awesome Domain Adaptation Python Toolbox
User: adapt-python
Home Page: https://adapt-python.github.io/adapt/
domain-adaptation transfer-learning few-shot-learning zero-shot-learning adversarial-learning adversarial-networks feature-selection importance-sampling regularization-parameters machine-learning deep-learning generalization python tensorflow scikit-learn dann

arnab39 / fewshot_gan-unet3d
few-shot-learning,Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
User: arnab39
3d-gan brain-mri convolutional-neural-networks few-shot-learning gans image-segmentation iseg-challenge medical-image-analysis multi-modal-imaging semi-supervised-gan semi-supervised-learning tensorflow unet-3d unet-tensorflow weightnorm-3d

bcmi / awesome-few-shot-image-generation
few-shot-learning,A curated list of papers, code and resources pertaining to few-shot image generation.
Organization: bcmi
few-shot-learning few-shot-generation few-shot-image-generation data-augmentation

bethgelab / siamese-mask-rcnn
few-shot-learning,Siamese Mask R-CNN model for one-shot instance segmentation
Organization: bethgelab
object-detection instance-segmentation one-shot-instance-segmentation one-shot-learning few-shot-learning

clue-ai / promptclue
few-shot-learning,PromptCLUE, 全中文任务支持零样本学习模型
Organization: clue-ai
Home Page: https://www.clueai.cn
bert chinese few-shot-learning gpt-3 multitask-learning pretrained-models prompt-tuning roberta t5-model transfer-learning zero-shot-learning

cluebenchmark / fewclue
few-shot-learning,FewCLUE 小样本学习测评基准，中文版
Organization: cluebenchmark
Home Page: https://arxiv.org/abs/2107.07498
fewclue clue benchmark chinese few-shot-learning ptuning pet gpt3 bert

dsxiangli / decryptprompt
few-shot-learning,总结Prompt&LLM论文，开源数据&模型，AIGC应用
User: dsxiangli
aigc chain-of-thought chatgpt demonstration few-shot-learning in-context-learning instruction-tuning llm llm-agent papers prompt prompt-engineering prompt-tuning zero-shot-learning

duan-jm / awesome-papers-fewshot
few-shot-learning,Collection for Few-shot Learning
User: duan-jm
awesome-list shot-learning meta-learning few-shot-learning

explosion / prodigy-openai-recipes
few-shot-learning,✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3
Organization: explosion
Home Page: https://prodi.gy
annotation-tool openai openai-api prodigy few-shot-learning gpt-3 zero-shot-learning nlp

floodsung / learningtocompare_fsl
few-shot-learning,PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
User: floodsung
few-shot-learning meta-learning

floodsung / meta-learning-papers
few-shot-learning,Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
User: floodsung
deep-learning meta-learning one-shot-learning learning-to-learn few-shot-learning

google-research / meta-dataset
few-shot-learning,A dataset of datasets for learning to learn from few examples
Organization: google-research
machine-learning meta-learning few-shot-learning tensorflow benchmark maml

hendrycks / test
few-shot-learning,Measuring Massive Multitask Language Understanding | ICLR 2021
User: hendrycks
Home Page: https://arxiv.org/abs/2009.03300
muti-task transfer-learning gpt-3 few-shot-learning

hugailab / hugnlp
few-shot-learning,CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Organization: hugailab
Home Page: https://wjn1996.github.io/blogs/HugNLP/
code-understanding deep-learning few-shot-learning instruction-tuning large-language-models natural-language-processing prompt-based-learning pytorch transformers information-extraction

huggingface / setfit
few-shot-learning,Efficient few-shot learning with Sentence Transformers
Organization: huggingface
Home Page: https://hf.co/docs/setfit
few-shot-learning nlp sentence-transformers

hytseng0509 / crossdomainfewshot
few-shot-learning,Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
User: hytseng0509
few-shot-learning meta-learning domain-generalization iclr2020

ibm / zshot
few-shot-learning,Zero and Few shot named entity & relationships recognition
Organization: ibm
Home Page: https://ibm.github.io/zshot
few-shot few-shot-learning ned ner relation-extraction zero-shot zero-shot-learning spacy nlp ai

jina-ai / finetuner
few-shot-learning,:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
Organization: jina-ai
Home Page: https://finetuner.jina.ai
fine-tuning pretrained-models few-shot-learning negative-sampling metric-learning siamese-network triplet-loss transfer-learning jina neural-search

jindongwang / transferlearning
few-shot-learning,Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
User: jindongwang
Home Page: http://transferlearning.xyz/
deep-learning domain-adaptation domain-adaption domain-generalization few-shot few-shot-learning generalization machine-learning meta-learning paper papers representation-learning self-supervised-learning style-transfer survey theory transfer-learning transferlearning tutorial-code unsupervised-learning

kjunelee / metaoptnet
few-shot-learning,Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
User: kjunelee
meta-learning few-shot convex-optimization few-shot-learning image-classification few-shot-recognition cvpr2019 metalearning

madaan / memprompt
few-shot-learning,A method to fix GPT-3 after deployment with user feedback, without re-training.
User: madaan
feedback few-shot-learning gpt-3 gpt-3-prompt language-generation language-modeling prompt-tuning user-feedback

madaan / self-refine
few-shot-learning,LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
User: madaan
Home Page: https://selfrefine.info
few-shot-learning language-generation large-language-models llms prompting reasoning chatgpt gpt-35 gpt-4 prompts

medmnist / medmnist
few-shot-learning,[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Organization: medmnist
Home Page: https://medmnist.com/
dataset benchmark automl mnist medical medical-image-analysis medmnist multi-modal decathlon medical-imaging

mlsys-mbs0221 / multitask-learning
few-shot-learning,Awesome Multitask Learning Resources
Organization: mlsys-mbs0221
convex-optimization deep-learning domain-adaptation federated-learning few-shot-learning machine-learning meta-learning multi-task-learning sparse-learning transfer-learning

open-mmlab / mmfewshot
few-shot-learning,OpenMMLab FewShot Learning Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmfewshot.readthedocs.io/en/latest/
pytorch openmmlab few-shot-learning

oscarknagg / few-shot
few-shot-learning,Repository for few-shot learning machine learning projects
User: oscarknagg
machine-learning pytorch few-shot-learning research meta-learning maml omniglot miniimagenet

princeton-nlp / lm-bff
few-shot-learning,[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
Organization: princeton-nlp
lm-bff language-models few-shot-learning

promptslab / awesome-prompt-engineering
few-shot-learning,This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Organization: promptslab
Home Page: https://discord.gg/m88xfYMbK6
chatgpt chatgpt-api few-shot-learning gpt gpt-3 openai prompt promptengineering text-to-image text-to-speech

quqxui / awesome-llm4ie-papers
few-shot-learning,Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
User: quqxui
Home Page: https://arxiv.org/abs/2312.17617
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

reasoning-machines / pal
few-shot-learning,PaL: Program-Aided Language Models (ICML 2023)
Organization: reasoning-machines
Home Page: https://reasonwithpal.com
commonsense-reasoning few-shot-learning language-generation language-model large-language-models reasoning

rl-vig / libfewshot
few-shot-learning,LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Organization: rl-vig
few-shot-learning meta-learning fine-tuning image-classification pytorch

sha-lab / feat
few-shot-learning,The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Organization: sha-lab
few-shot-learning meta-learning machine-learning computer-vision few-shot cvpr2020

shuoyang-1998 / few_shot_distribution_calibration
few-shot-learning,[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
User: shuoyang-1998
Home Page: https://arxiv.org/abs/2101.06395
few-shot-learning few-shot-classifcation

sicara / easy-few-shot-learning
few-shot-learning,Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Organization: sicara
few-shot-learning few-shot-recognition few-shot-classifcation meta-learning machine-learning pytorch image-classification deep-learning

sudharsan13296 / awesome-meta-learning
few-shot-learning, A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
User: sudharsan13296
metalearning one-shot-learning zero-shot-learning few-shot-learning deep-meta-learning meta-reinforcement

sudharsan13296 / hands-on-deep-learning-algorithms-with-python
few-shot-learning,Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B07LH43V8P/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i3
deep-learning-mathematics deep-learning-math deep-learning-scratch gans cyclegan adagrad autoencoder capsule-network nadam word-embeddings

sudharsan13296 / hands-on-meta-learning-with-python
few-shot-learning,Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
User: sudharsan13296
Home Page: https://www.amazon.com/Hands-Meta-Learning-Python-algorithms-ebook/dp/B07KJJHYKF/ref=sr_1_1?ie=UTF8&qid=1543222179&sr=8-1&keywords=meta+learning+hands+on
metalearning maml reptile meta-sgd tensorflow ntm mann one-shot-learning few-shot-learning matching-networks

tata1661 / fsl-mate
few-shot-learning,FSL-Mate: A collection of resources for few-shot learning (FSL).
User: tata1661
few-shot-learning one-shot-learning meta-learning low-shot deep-learning papers few-shot-paper few-shot-papers paper paddlepaddle few-shot

thudm / p-tuning
few-shot-learning,A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Organization: thudm
natural-language-processing pre-trained-language-models prompt-tuning p-tuning parameter-efficient-learning few-shot-learning

thunlp / few-nerd
few-shot-learning,Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Organization: thunlp
Home Page: https://ningding97.github.io/fewnerd
nlp named-entity-recognition entity-typing deep-learning few-shot-learning

thunlp / fewrel
few-shot-learning,A Large-Scale Few-Shot Relation Extraction Dataset
Organization: thunlp
Home Page: https://thunlp.github.io/fewrel.html
natural-language-processing few-shot-learning relation-extraction

tristandeleu / pytorch-meta
few-shot-learning,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
User: tristandeleu
Home Page: https://tristandeleu.github.io/pytorch-meta/
few-shot-learning meta-learning pytorch

ttengwang / awesome_prompting_papers_in_computer_vision
few-shot-learning,A curated list of prompt-based paper in computer vision and vision-language learning.
User: ttengwang
Home Page: https://visualprompting.github.io/
adapter few-shot-learning parameter-efficient-tuning prompt-learning prompt-tuning visual-prompt zero-shot-learning

ucbdrive / few-shot-object-detection
few-shot-learning,Implementations of few-shot object detection benchmarks
Organization: ucbdrive
few-shot-object-detection few-shot-learning icml-2020

yaoyao-liu / few-shot-classification-leaderboard
few-shot-learning,Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
User: yaoyao-liu
Home Page: https://few-shot.yyliu.net
few-shot-learning few-shot-classifcation miniimagenet tiered-imagenet mini-imagenet fc100 cifar-fs

yaoyao-liu / meta-transfer-learning
few-shot-learning,TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
User: yaoyao-liu
Home Page: https://lyy.mpi-inf.mpg.de/mtl/
few-shot-learning meta-learning transfer-learning mini-imagenet tiered-imagenet fewshot-cifar100

yaoyao-liu / mini-imagenet-tools
few-shot-learning,Tools for generating mini-ImageNet dataset and processing batches
User: yaoyao-liu
Home Page: https://mtl.yyliu.net/datasets/
miniimagenet few-shot-learning few-shot mini-imagenet imagenet dataset meta-learning one-shot-learning

yinboc / few-shot-meta-baseline
few-shot-learning,Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
User: yinboc
machine-learning few-shot-learning pytorch

yinboc / prototypical-network-pytorch
few-shot-learning,A re-implementation of "Prototypical Networks for Few-shot Learning"
User: yinboc
machine-learning few-shot-learning pytorch

zhaoxin94 / awesome-domain-adaptation
few-shot-learning,A collection of AWESOME things about domian adaptation
User: zhaoxin94
adversarial-learning awesome-list domain-adaptation few-shot-learning image-translation optimal-transport paper transfer-learning zero-shot-learning