zero-shot-learning

There are 39 repositories under zero-shot-learning topic.

zhaoxin94 / awesome-domain-adaptation
A collection of AWESOME things about domain adaptation
adversarial-learning awesome-list domain-adaptation few-shot-learning image-translation optimal-transport paper transfer-learning zero-shot-learning
5360
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
3274
CVI-SZU / Linly
Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集
bert gpt-3 language-model llama nlp zero-shot-learning chatbot chatgpt chinese chinese-nlp
Language:Python 3056
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
1554
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 1216
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
1023
sbharadwajj / awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
zero-shot-learning deep-learning awesome-list papers
932
NVlabs / ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
deep-learning instance-segmentation panoptic-segmentation pytorch semantic-segmentation diffusion-models text-image-retrieval zero-shot-learning open-vocabulary open-vocabulary-segmentation open-world-classification open-world-object-detection open-vocabulary-semantic-segmentation
Language:Python 930
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
925
BatsResearch / bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
llm synthetic-data synthetic-dataset-generation zero-shot-learning domain-adaptation gpt task-adaptation
Language:Python 801
NVlabs / GroupViT
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
image-text-matching transformers zero-shot-learning semantic-segmentation
Language:Python 773
lucidrains / x-clip
A concise but complete implementation of CLIP with various experimental improvements from recent papers
artificial-intelligence deep-learning contrastive-learning zero-shot-learning multi-modal-learning
Language:Python 718
You-are-Pythonista
kylinyang0 / You-are-Pythonista
汇聚【Python应用】【Python实训】【Python技术分享】等等
python awesome-python learning-python python3 zero-shot-learning python-script python-learning python-learning-notes python-project python-programming-exercises python-programming
Language:Python 710
zhengli97 / Awesome-Prompt-Adapter-Learning-for-VLMs
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
adapter-learning few-shot-classifcation few-shot-learning paper-list prompt-learning vision-language-model zero-shot-learning
699
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
ChenWu98 / cycle-diffusion
[ICCV 2023] A latent space for stochastic diffusion models
diffusion-models generative-models image-to-image-translation score-based-generative-models stable-diffusion text-to-image zero-shot-learning image-synthesis
Language:Python 644
EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
attack-defense continual-learning diffusion-models ensemble-learning federated-learning few-shot-learning foundation-models generalization generative-model knowledge-fusion large-language-models llms meta-learning model-fusion model-merging multi-domain-learning multi-task-learning robustness transfer-learning zero-shot-learning
590
bigscience-workshop / xmtf
Crosslingual Generalization through Multitask Finetuning
instruction-tuning large-language-models multitask-learning language-models bloom multilingual-nlp t5 bloomz mt0 zero-shot-learning
Language:Jupyter Notebook 537
CLUEbenchmark / pCLUE
pCLUE: 1000000+多任务提示学习数据集
chinese clue datasets multi-task-learning prompt-learning zero-shot-learning promptclue
Language:Jupyter Notebook 500
diffusion-classifier / diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
bayes-theorem classification computer-vision deep-learning diffusion diffusion-models elbo generative generative-models machine-learning monte-carlo robustness supervised-learning zero-shot-classification zero-shot-learning
Language:Python 474
aelnouby / Text-to-Image-Synthesis
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
gans image-generation pytorch text-to-image zero-shot-learning
Language:Python 411
IBM / zshot
Zero and Few shot named entity & relationships recognition
few-shot few-shot-learning ned ner relation-extraction zero-shot zero-shot-learning spacy nlp ai deep-learning machine-learning named-entity-recognition natural-language-processing natural-language-understanding nlp-library pytorch relationship-extraction transformer
Language:Python 391
adapt-python / adapt
Awesome Domain Adaptation Python Toolbox
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
Language:Python 356
explosion / prodigy-openai-recipes
✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3
annotation-tool few-shot-learning gpt-3 nlp openai openai-api prodigy zero-shot-learning
Language:Python 322
yinboc / DGP
Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
machine-learning zero-shot-learning knowledge-graph pytorch
Language:Python 320
UCSC-VLAA / CLIPA
[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
contrastive-learning deep-learning foundation-models multimodal-learning neurips-2023 pytorch zero-shot-classification zero-shot-learning
Language:Python 319
RUCAIBox / LLMRank
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
chatgpt large-language-models recommendation-system recommender-system zero-shot-learning
Language:Python 306
edgarschnfld / CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
few-shot-learning generalized-zero-shot-learning vae variational-autoencoder zero-shot-learning
Language:Python 295
lzrobots / LearningToCompare_ZSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
zero-shot-learning few-shot-learning
Language:Python 270
zhihou7 / BatchFormer
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
representation-learning long-tailed-recognition domain-generalization domain-adaptation zero-shot-learning few-shot-learning contrastive-learning cvpr2022
Language:Python 253
jackboyla / GLiREL
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
bert information-extraction natural-language-processing relation-extraction zero-shot-learning
Language:Python 246
bcmi / CaGNet-Zero-Shot-Semantic-Segmentation
Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".
semantic-segmentation zero-shot-semantic-segmentation zero-shot-learning zero-label-semantic-segmentation
Language:Python 238
RetroCirce / Zero_Shot_Audio_Source_Separation
The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
audio-source-separation music-information-retrieval zero-shot-learning transformer-models query-based-learning python
Language:Python 209
CapDec
DavidHuji / CapDec
CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
captioning clip gpt-2 multimodal-deep-learning zero-shot-learning clipcap
Language:Python 201
soham97 / awesome-sound_event_detection
Reading list for research topics in Sound AI
audio-processing icassp interspeech sound-event-detection acoustic-scene-classification audio-captioning audio-generation audio-retrieval representation-learning zero-shot-learning
192
bcmi / Awesome-Weak-Shot-Learning
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
weak-shot-learning zero-shot-learning few-shot-learning weakly-supervised-learning
184

zero-shot-learning

zhaoxin94 / awesome-domain-adaptation

DSXiangLi / DecryptPrompt

CVI-SZU / Linly

sudharsan13296 / Awesome-Meta-Learning

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

quqxui / Awesome-LLM4IE-Papers

sbharadwajj / awesome-zero-shot-learning

NVlabs / ODISE

ttengwang / Awesome_Prompting_Papers_in_Computer_Vision

BatsResearch / bonito

NVlabs / GroupViT

lucidrains / x-clip

kylinyang0 / You-are-Pythonista

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

clue-ai / PromptCLUE

ChenWu98 / cycle-diffusion

EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications

bigscience-workshop / xmtf

CLUEbenchmark / pCLUE

diffusion-classifier / diffusion-classifier

aelnouby / Text-to-Image-Synthesis

IBM / zshot

adapt-python / adapt

explosion / prodigy-openai-recipes

yinboc / DGP

UCSC-VLAA / CLIPA

RUCAIBox / LLMRank

edgarschnfld / CADA-VAE-PyTorch

lzrobots / LearningToCompare_ZSL

zhihou7 / BatchFormer

jackboyla / GLiREL

bcmi / CaGNet-Zero-Shot-Semantic-Segmentation

RetroCirce / Zero_Shot_Audio_Source_Separation

DavidHuji / CapDec

soham97 / awesome-sound_event_detection

bcmi / Awesome-Weak-Shot-Learning