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few-shot

Here are 62 public repositories matching this topic...

transferlearning

jindongwang / transferlearning

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

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption

Updated Jun 1, 2022
Python

learn2learn

learnables / learn2learn

Open

Add more tutorials

2

seba-1511 commented Mar 3, 2020

As suggested on Reddit, it would be nice to have more tutorials.

A simple idea is to base them on our existing examples. The tutorial could explain how each implemented method works

Read more

help wanted good first issue

FSL-Mate

tata1661 / FSL-Mate

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

deep-learning paper papers one-shot-learning paddlepaddle meta-learning few-shot few-shot-learning low-shot few-shot-paper few-shot-papers

Updated Jun 9, 2022
Python

zjunlp / DeepKE

An Open Toolkit for Knowledge Graph Extraction and Construction

Updated Jun 9, 2022
Python

jakesnell / prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

deep-learning pytorch metric-learning nips-2017 omniglot few-shot

Updated Jan 28, 2021
Python

kjunelee / MetaOptNet

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

image-classification convex-optimization meta-learning few-shot metalearning few-shot-learning few-shot-recognition cvpr2019

Updated Nov 9, 2019
Python

Sha-Lab / FEAT

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

machine-learning computer-vision meta-learning few-shot few-shot-learning cvpr2020

Updated Jul 31, 2020
Python

yaoyao-liu / mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

dataset imagenet one-shot-learning meta-learning miniimagenet few-shot few-shot-learning mini-imagenet

Updated Oct 30, 2020
Python

fanq15 / FewX

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

few-shot few-shot-object-detection few-shot-instance-segmentation partially-supervised

Updated May 24, 2021
Python

gitabcworld / FewShotLearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

python optimization pytorch optimization-algorithms few-shot

Updated Sep 22, 2017
Python

EndlessSora / DeceiveD

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

generative-adversarial-network gan generative-model image-generation image-synthesis few-shot limited-data stylegan2 neurips-2021

Updated Dec 9, 2021
Python

amazon-research / bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

computer-vision object-detection few-shot pretraining

Updated May 26, 2022
Python

dvlab-research / PFENet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

segmentation few-shot pami-2020

Updated Mar 21, 2022
Python

gabrielhuang / reptile-pytorch

A PyTorch implementation of OpenAI's REPTILE algorithm

deep-neural-networks deep-learning pytorch openai supervised-learning few-shot metalearning

Updated Dec 31, 2019
Jupyter Notebook

thunlp / HATT-Proto

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

relation-extraction few-shot

Updated Jan 24, 2019
Python

abdulfatir / prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

deep-learning tensorflow ipython-notebook one-shot-learning nips-2017 omniglot miniimagenet few-shot

Updated Feb 9, 2018
Jupyter Notebook

mboudiaf / TIM

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

optimization-methods mutual-information few-shot transductive-learning few-shot-learning neurips-2020 few-shot-classifcation

Updated Sep 6, 2021
Python

clovaai / dmfont

Official PyTorch implementation of DM-Font (ECCV 2020)

pytorch few-shot eccv2020 font-generation dmfont

Updated Apr 24, 2022
Python

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

cwru few-shot unbalanced-data fault-diagnosis wdcnn

Updated May 31, 2021
Jupyter Notebook

Ze-Yang / Context-Transformer

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

pytorch transformer object-detection transfer-learning few-shot rfbnet

Updated Jun 29, 2021
Python

yaoyao-liu / tiered-imagenet-tools

Tools for generating tieredImageNet dataset and processing batches

dataset meta-learning few-shot few-shot-learning tiered-imagenet

Updated Dec 15, 2020
Python

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.

datasets libary intent-classification intent-detection few-shot

Updated Apr 21, 2022
Python

wenliangdai / Modality-Transferable-MER

Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.

nlp deep-learning pytorch zero-shot emotion-recognition few-shot multimodal cmu-mosei iemocap

Updated Apr 23, 2021
Python

rehg-lab / lowshot-shapebias

Learning low-shot object classification with explicit shape bias learned from point clouds

computer-vision deep-learning point-cloud pytorch convolutional-neural-networks 3d 3d-vision few-shot few-shot-learning pytorch-implementation low-shot

Updated Dec 8, 2021
Python

gentaiscool / few-shot-lm

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

multilingual nlp intent gpt language-model few-shot few-shot-learning t5

Updated Dec 17, 2021
Python

yoonholee / MT-net

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

deep-learning meta-learning few-shot few-shot-learning

Updated Jan 18, 2019
Python

shellysheynin / A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

localization pytorch gan supervised-learning transformation official self anomaly-detection few-shot defect-detection

Updated Dec 20, 2021
Python

wy1iu / NSL

Implementation for <Neural Similarity Learning> in NeurIPS'19.

dynamic similarity neural-networks meta-learning few-shot neurips-2019 spherenet neural-similarity

Updated Aug 23, 2020
Python

Frozenmad / MetaDelta

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners

deep-learning pytorch automl meta-learning few-shot

Updated Dec 25, 2021
Python

maxstrobel / HCN-PrototypeLoss-PyTorch

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

pytorch tensorboard metric-learning confusion-matrix one-shot-learning action-recognition meta-learning shot-learning 3d-pose few-shot hcn skeleton-based-action-recognition few-shot-learning pytorch-implementation nturgb-d prototype-loss train-hcn hierarchical-co-occurrence-network confusion-matrixes arxiv-preprint vanilla-hcn prototype-hcn

Updated Mar 6, 2019
Python

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