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Search results for few shot learning

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290 search results found

Transferlearning ⭐ 12,494

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome Domain Adaptation ⭐ 4,822

A collection of AWESOME things about domian adaptation

Awesome Prompt Engineering ⭐ 2,780

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

Meta Learning Papers ⭐ 2,577

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Setfit ⭐ 1,813

Efficient few-shot learning with Sentence Transformers

Pytorch Meta ⭐ 1,724

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Decryptprompt ⭐ 1,655

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Fsl Mate ⭐ 1,611

FSL-Mate: A collection of resources for few-shot learning (FSL).

Finetuner ⭐ 1,133

🎯 Task-oriented finetuning for better embeddings on neural search

Awesome Meta Learning ⭐ 917

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Learningtocompare_fsl ⭐ 891

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Awesome Papers Fewshot ⭐ 877

Collection for Few-shot Learning

Hands On Meta Learning With Python ⭐ 857

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Libfewshot ⭐ 771

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Awesome_prompting_papers_in_computer_vision ⭐ 769

A curated list of prompt-based paper in computer vision and vision-language learning.

Easy Few Shot Learning ⭐ 737

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

A Large-Scale Few-Shot Relation Extraction Dataset

Meta Transfer Learning ⭐ 710

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Meta Dataset ⭐ 679

A dataset of datasets for learning to learn from few examples

Few Shot Object Detection ⭐ 648

Implementations of few-shot object detection benchmarks

Promptclue ⭐ 592

PromptCLUE, 全中文任务支持零样本学习模型

Few Shot Meta Baseline ⭐ 584

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

Mmfewshot ⭐ 542

OpenMMLab FewShot Learning Toolbox and Benchmark

P Tuning ⭐ 528

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

Few Shot ⭐ 520

Repository for few-shot learning machine learning projects

Metaoptnet ⭐ 480

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Few_shot_distribution_calibration ⭐ 465

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

Mini Imagenet Tools ⭐ 399

Tools for generating mini-ImageNet dataset and processing batches

Self Refine ⭐ 390

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

Multitask Learning ⭐ 374

Awesome Multitask Learning Resources

Few Nerd ⭐ 350

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Fewclue ⭐ 347

FewCLUE 小样本学习测评基准，中文版

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

PaL: Program-Aided Language Models

Prodigy Openai Recipes ⭐ 305

✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3

Few Shot Classification Leaderboard ⭐ 303

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

Awesome Few Shot Image Generation ⭐ 295

A curated list of papers, code and resources pertaining to few-shot image generation.

Prototypical Network Pytorch ⭐ 294

A re-implementation of "Prototypical Networks for Few-shot Learning"

Measuring Massive Multitask Language Understanding | ICLR 2021

Zero and Few shot named entity & relationships recognition

Few Shot Gan Adaptation ⭐ 272

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

Awesome Domain Adaptation Python Toolbox

Hands On Deep Learning Algorithms With Python ⭐ 241

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Fewshot_gan Unet3d ⭐ 239

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

Memprompt ⭐ 220

A method to fix GPT-3 after deployment with user feedback, without re-training.

Learningtocompare_zsl ⭐ 218

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

Metric Learning Divide And Conquer ⭐ 213

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Visual_token_matching ⭐ 213

[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

Awesome Llm4ie Papers ⭐ 210

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Batchformer ⭐ 210

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

Cada Vae Pytorch ⭐ 208

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Keras Fewshotlearning ⭐ 204

Some State-of-the-Art few shot learning algorithms in tensorflow 2

Siamese Mask Rcnn ⭐ 202

Siamese Mask R-CNN model for one-shot instance segmentation

Crosspoint ⭐ 179

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Knowprompt ⭐ 166

Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction."

Meta Tts ⭐ 151

Official repository of https://doi.org/10.1109/TASLP.2022.3167258. More up-to-date code is in "refactor" branch.

Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Metalearning4nlp Papers ⭐ 149

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

Awesome Weak Shot Learning ⭐ 147

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

Dynamic Conditional Networks.pytorch ⭐ 145

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

One Shot Relational Learning ⭐ 144

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Snca.pytorch ⭐ 136

Improving Generalization via Scalable Neighborhood Component Analysis

Black Box Tuning ⭐ 133

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

Multilingual_kws ⭐ 127

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

Ganbert ⭐ 127

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

Scaling Laws Openclip ⭐ 112

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

Vq Font ⭐ 107

[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles

Awesome Few Shot Gnn ⭐ 103

An index of algorithms for few-shot learning/meta-learning on graphs

Siamese Networks ⭐ 103

Few Shot Learning by Siamese Networks, using Keras.

Negative Margin.few Shot ⭐ 99

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

Few Shot Text Classification ⭐ 99

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Graph meta learning via local subgraphs (NeurIPS 2020)

Meta Learning Bert ⭐ 94

Meta learning with BERT as a learner

Crossdomainfewshot ⭐ 93

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Low Resource Kepapers ⭐ 93

A Paper List of Low-resource Information Extraction

Meta Learning Lstm Pytorch ⭐ 92

pytorch implementation of Optimization as a Model for Few-shot Learning

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Hands On Deep Learning Algorithms With Python ⭐ 90

Hands-On Deep Learning Algorithms with Python, By Packt

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Fewshotdetection ⭐ 88

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

[ICLR'19] Meta-learning with differentiable closed-form solvers

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

Pytorch Maml ⭐ 80

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Prompt Lib ⭐ 77

A set of utilities for running few-shot prompting experiments on large-language models

Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"

Lightningfsl ⭐ 76

LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

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