Repository for few-shot learning machine learning projects

• UpdatedNov 25, 2019
• Python

Tools for generating mini-ImageNet dataset and processing batches

• UpdatedOct 30, 2020
• Python

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

• UpdatedNov 22, 2022
• HTML

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

• UpdatedMar 5, 2024
• Python

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

• UpdatedFeb 9, 2018
• Jupyter Notebook

A lightweight library that implements state-of-the-art few-shot learning algorithms.

• UpdatedApr 18, 2021
• Python

This repository contains the code for the paper: Cooperative Bi-path Metric for Few-shot Learning, Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian, ACM Conference on Multimedia (ACM MM), 2020

• UpdatedOct 16, 2020
• Python

The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning

• UpdatedAug 21, 2023
• Python

MAML implementation in PyTorch.

• UpdatedSep 6, 2022
• Python

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

• UpdatedAug 21, 2023
• Python

Very simple MAML-like metalearning baseline

• UpdatedMar 23, 2020
• Julia

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

• UpdatedOct 19, 2017
• Python