This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
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Updated
Mar 5, 2024 - 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
Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning
The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
MAML implementation in PyTorch.
A lightweight library that implements state-of-the-art few-shot learning algorithms.
Tools for generating mini-ImageNet dataset and processing batches
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
Very simple MAML-like metalearning baseline
Repository for few-shot learning machine learning projects
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks 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
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