tata1661 / FSL-MateLinks
FSL-Mate: A collection of resources for few-shot learning (FSL).
☆1,745Updated last year
Alternatives and similar repositories for FSL-Mate
Users that are interested in FSL-Mate are comparing it to the libraries listed below
Sorting:
- Collection for Few-shot Learning☆981Updated 2 years ago
- Repository for few-shot learning machine learning projects☆1,255Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,147Updated 3 years ago
- A curated list of papers, code and resources pertaining to zero shot learning☆922Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,035Updated last year
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,412Updated 6 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,172Updated 4 years ago
- PyTorch implementation of Contrastive Learning methods☆1,984Updated last year
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆643Updated 3 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,534Updated 4 years ago
- A PyTorch Library for Meta-learning Research☆2,799Updated last year
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆589Updated 2 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆762Updated 2 weeks ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,070Updated 5 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,148Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,841Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,682Updated last month
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,276Updated 9 months ago
- A collection of implementations of deep domain adaptation algorithms☆934Updated 3 years ago
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,215Updated last year
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,026Updated 3 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,243Updated 8 months ago
- Some tricks of pytorch...☆1,192Updated last year
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆472Updated 3 years ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,266Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆971Updated 3 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,602Updated 2 years ago
- A collection of AWESOME things about domian adaptation☆5,287Updated 8 months ago
- All about domain generalization☆838Updated 3 months ago