subeeshvasu / Awesome-Learning-with-Label-NoiseLinks
A curated list of resources for Learning with Noisy Labels
☆2,681Updated last month
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.☆1,840Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,984Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,403Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,261Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,275Updated 8 months ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,348Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,242Updated 7 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☆1,446Updated 3 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,289Updated 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
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,598Updated 2 years ago
- A curated list of awesome self-supervised methods☆6,282Updated 11 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆971Updated 3 years ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,475Updated 3 weeks ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,289Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆506Updated 3 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,698Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆752Updated 4 years ago
- A Survey☆562Updated 2 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,325Updated 4 years ago
- A collection of AWESOME things about domian adaptation☆5,285Updated 7 months ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆556Updated 4 years ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,715Updated 3 years ago
- mixup: Beyond Empirical Risk Minimization☆1,180Updated 3 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,981Updated last month
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,339Updated last year
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,043Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆785Updated 2 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,666Updated 10 months ago