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Search results for python few shot learning

few-shot-learning x

218 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 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

Pytorch Meta ⭐ 1,724

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

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

Medmnist ⭐ 903

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

Libfewshot ⭐ 771

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

Easy Few Shot Learning ⭐ 737

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

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

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)

Self Refine ⭐ 390

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

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

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

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

Batchformer ⭐ 210

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

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"

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

Ganbert ⭐ 127

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

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

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

Negative Margin.few Shot ⭐ 99

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

Graph meta learning via local subgraphs (NeurIPS 2020)

Crossdomainfewshot ⭐ 93

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

Meta Learning Lstm Pytorch ⭐ 92

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

Hands On Deep Learning Algorithms With Python ⭐ 90

Hands-On Deep Learning Algorithms with Python, By Packt

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

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.

[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

Lightningfsl ⭐ 76

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

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

Incontext Learning ⭐ 69

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

Laplacianshot ⭐ 69

Laplacian Regularized Few Shot Learning

Instructdial ⭐ 67

Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Knowledge_evolution ⭐ 67

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

Templatener ⭐ 64

Source code for template-based NER

Deviation Network ⭐ 64

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

Ssl Few Shot ⭐ 60

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

Multidigitmnist ⭐ 54

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

Matching Networks ⭐ 51

Matching Networks for one-shot learning in tensorflow (NIPS'16)

PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)

[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition

Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.

Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

Ssformers ⭐ 43

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning (SCIENCE CHINA Information Sciences)".

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Lofgan Pytorch ⭐ 41

LoFGAN: Fusing Local Representations for Few-shot Image Generation. (ICCV 2021)

Tk Instruct ⭐ 41

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

F2gan Few Shot Image Generation ⭐ 41

Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020

Manifest ⭐ 41

Few-shot image translation method working on unstructured environments. ECCV 2022

Pytorch Meta Dataset ⭐ 40

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Few Shot Lm ⭐ 40

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

Simple Cnaps ⭐ 40

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" (TPAMI 2022 - in submission)

Protoner ⭐ 39

Few-shot classification in Named Entity Recognition Task

Official PaddlePaddle Implementation of Few-Shot Font Generation by Learning Fine-Grained Local Styles (FsFont)

Fewshotviewpoint ⭐ 38

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

Channel_importance_fsl ⭐ 38

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Sib_meta_learn ⭐ 37

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Prototransfer ⭐ 37

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

Meta Fine Tuning ⭐ 36

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Language Models of Code are Few-Shot Commonsense Learners

Cluttered Omniglot ⭐ 35

Cluttered Omniglot dataset and models

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