subeeshvasu / Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
☆2,680Updated last week
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.☆1,838Updated 11 months ago
- PyTorch implementation of Contrastive Learning methods☆1,979Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,269Updated 8 months ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,342Updated last year
- A collection of AWESOME things about domian adaptation☆5,271Updated 7 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,241Updated 6 months ago
- A Survey☆560Updated 2 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,584Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,274Updated last year
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,140Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,257Updated last year
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆233Updated 3 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,498Updated 4 months 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☆1,438Updated 2 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,300Updated last month
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,139Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,396Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,178Updated 3 years ago
- list of efficient attention modules☆1,003Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆969Updated 3 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,820Updated 10 months ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,468Updated 2 months ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,270Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆556Updated 4 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,323Updated 4 years ago
- Awesome Knowledge Distillation☆3,668Updated 2 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,040Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆504Updated 3 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,690Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆797Updated last year