This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
-
Updated
Oct 19, 2017 - Python
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Repository for few-shot learning machine learning projects
Very simple MAML-like metalearning baseline
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
Tools for generating mini-ImageNet dataset and processing batches
A lightweight library that implements state-of-the-art few-shot learning algorithms.
MAML implementation in PyTorch.
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Add a description, image, and links to the miniimagenet topic page so that developers can more easily learn about it.
To associate your repository with the miniimagenet topic, visit your repo's landing page and select "manage topics."