Alternatives and similar repositories for Awesome-Noisy-Labels

Users that are interested in Awesome-Noisy-Labels are comparing it to the libraries listed below

• LiJunnan1992 / DivideMix
  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
  ☆575Updated 5 years ago
• weitongseu / awesome-long-tail-learning
  ☆493Updated last year
• TorchSSL / TorchSSL
  A PyTorch-based library for semi-supervised learning (NeurIPS'21)
  ☆1,367Updated 2 years ago
• zwzhang123 / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆586Updated 2 years ago
• kaidic / LDAM-DRW
  [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
  ☆697Updated 4 years ago
• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆300Updated 2 years ago
• gorkemalgan / deep_learning_with_noisy_labels_literature
  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
  ☆236Updated 4 years ago
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆518Updated 4 years ago
• kekmodel / FixMatch-pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆796Updated 2 years ago
• iBelieveCJM / Tricks-of-Semi-supervisedDeepLeanring-Pytorch
  PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
  ☆453Updated 2 years ago
• facebookresearch / classifier-balancing
  This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…
  ☆976Updated 4 years ago
• google-research / fixmatch
  A simple method to perform semi-supervised learning with limited data.
  ☆1,200Updated last year
• salesforce / PCL
  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
  ☆607Updated 8 months ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆456Updated 3 years ago
• YyzHarry / imbalanced-semi-self
  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
  ☆761Updated 4 years ago
• yassouali / awesome-semi-supervised-learning
  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
  ☆1,852Updated last year
• YU1ut / MixMatch-pytorch
  Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
  ☆653Updated 2 years ago
• nayeemrizve / ups
  "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…
  ☆236Updated 2 years ago
• leftthomas / SimCLR
  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆569Updated 5 years ago
• kekmodel / MPL-pytorch
  Unofficial PyTorch implementation of "Meta Pseudo Labels"
  ☆390Updated last year
• weijiaheng / Advances-in-Label-Noise-Learning
  A curated (most recent) list of resources for Learning with Noisy Labels
  ☆716Updated last year
• KaihuaTang / Long-Tailed-Recognition.pytorch
  [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …
  ☆571Updated last week
• wetliu / energy_ood
  ☆429Updated 4 years ago
• SineZHAN / deepALplus
  This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…
  ☆183Updated last year
• subeeshvasu / Awesome-Learning-with-Label-Noise
  A curated list of resources for Learning with Noisy Labels
  ☆2,721Updated 8 months ago
• asheeshcric / awesome-contrastive-self-supervised-learning
  A comprehensive list of awesome contrastive self-supervised learning papers.
  ☆1,307Updated last year
• SimonVandenhende / Awesome-Multi-Task-Learning
  A list of multi-task learning papers and projects.
  ☆383Updated 3 years ago
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆805Updated last year
• Jingkang50 / OpenOOD
  Benchmarking Generalized Out-of-Distribution Detection
  ☆1,029Updated last month
• frank-xwang / RIDE-LongTailRecognition
  [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
  ☆273Updated 2 years ago