few-shot
There are 130 repositories under few-shot topic.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
zjunlp/DeepKE
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
learnables/learn2learn
A PyTorch Library for Meta-learning Research
adobe-research/custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
wangkai930418/awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
jakesnell/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
mims-harvard/UniTS
A unified multi-task time series model.
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
Sha-Lab/FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
amazon-science/bigdetection
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
IBM/zshot
Zero and Few shot named entity & relationships recognition
fanq15/FewX
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
dvlab-research/PFENet
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
Xiaohan-Chen/transfer-learning-fault-diagnosis-pytorch
A transfer learning fault diagnosis repository covering popular algorithms
gitabcworld/FewShotLearning
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
ByChelsea/VAND-APRIL-GAN
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
tohinz/CharacterGAN
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
thunlp/HATT-Proto
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
jianguoz/Few-Shot-Intent-Detection
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
clovaai/dmfont
Official PyTorch implementation of DM-Font (ECCV 2020)
abdulfatir/prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
mboudiaf/TIM
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Ze-Yang/Context-Transformer
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
Anirudh257/strm
[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
Xiaohan-Chen/few-shot-fault-diagnosis
A few shot learning repository for bearing fault diagnosis.
yaoyao-liu/tiered-imagenet-tools
Tools for generating tieredImageNet dataset and processing batches
Yifei20/Few-shot-Fault-Diagnosis-MAML
Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.
leezythu/FlexKBQA
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
prstrive/SCGaussian
[NeurIPS 2024] Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
wenliangdai/Modality-Transferable-MER
Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.
CHeggan/MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
A new comprehensive and diverse few-shot acoustic classification benchmark.