Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Meta Dataset	679	a year ago	37	apache-2.0	Python
A dataset of datasets for learning to learn from few examples
Mini Imagenet Tools	399	3 years ago	5	mit	Python
Tools for generating mini-ImageNet dataset and processing batches
Matchingnetworks	209	7 years ago	5	other	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
Meta Selflearning	175	2 years ago			Python
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
Feat	149	4 years ago	6	mit	Python
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Simple Cnaps	89	a year ago	1	mit	Python
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
Dmml	87	5 years ago			Python
code for ICCV19 paper "Deep Meta Metric Learning"
Cnaps	83	3 years ago		mit	Python
Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"
Orbit Dataset	82	3 months ago		mit	Python
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
Simple_shot	72	3 years ago	7	mit	Python

Alternatives To Tiered Imagenet Tools

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Meta Dataset ⭐ 679

A dataset of datasets for learning to learn from few examples

most recent commit a year ago

Mini Imagenet Tools ⭐ 399

Tools for generating mini-ImageNet dataset and processing batches

most recent commit 3 years ago

Matchingnetworks ⭐ 209

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

most recent commit 7 years ago

Meta Selflearning ⭐ 175

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

most recent commit 2 years ago

Feat ⭐ 149

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

most recent commit 4 years ago

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

most recent commit a year ago

Dmml ⭐ 87

code for ICCV19 paper "Deep Meta Metric Learning"

most recent commit 5 years ago

Cnaps ⭐ 83

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

most recent commit 3 years ago

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

most recent commit 3 months ago

Simple_shot ⭐ 72

most recent commit 3 years ago

Suggest An Alternative To tiered-imagenet-tools

Alternative Project Comparisons

Tiered Imagenet Tools vs Meta Dataset

Tiered Imagenet Tools vs Mini Imagenet Tools

Tiered Imagenet Tools vs Matchingnetworks

Tiered Imagenet Tools vs Meta Selflearning

Tiered Imagenet Tools vs Feat

Tiered Imagenet Tools vs Simple Cnaps

Tiered Imagenet Tools vs Dmml

Tiered Imagenet Tools vs Cnaps

Tiered Imagenet Tools vs Orbit Dataset

Tiered Imagenet Tools vs Simple_shot

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