subeeshvasu / Awesome-Learning-with-Label-NoiseLinks
A curated list of resources for Learning with Noisy Labels
☆2,720Updated 9 months ago
Alternatives and similar repositories for Awesome-Learning-with-Label-Noise
Users that are interested in Awesome-Learning-with-Label-Noise are comparing it to the libraries listed below
Sorting:
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,854Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,365Updated 2 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,310Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,404Updated 2 years ago
- A Survey☆573Updated 2 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,651Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆975Updated 4 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,483Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,259Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,199Updated 4 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,336Updated 5 years ago
- 😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库☆1,514Updated 11 months ago
- ☆1,145Updated 2 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Awesome Knowledge Distillation☆3,809Updated last month
- A simple method to perform semi-supervised learning with limited data.☆1,200Updated last year
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆519Updated 4 years ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,560Updated 3 weeks ago
- A collection of AWESOME things about domain adaptation☆5,400Updated last month
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,087Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Updated 4 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,111Updated 3 weeks ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,327Updated last month
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆697Updated 4 years ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,739Updated 4 years ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,299Updated 2 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,652Updated 5 years ago
- list of efficient attention modules☆1,021Updated 4 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated 2 years ago