T-Revision
Noisy label solver
A PyTorch implementation of a method for learning with noisy labels in deep neural networks
NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
97 stars
5 watching
18 forks
Language: Python
last commit: over 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| xiaoboxia/cdr | An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks | 75 |
| xiaoboxia/classification-with-noisy-labels-by-importance-reweighting | An implementation of a method to improve classification accuracy on noisy labels by reweighting their importance | 39 |
 pxiangwu/topofilter | Develops and evaluates machine learning algorithms to mitigate the effects of noisy labels in supervised learning. | 30 |
 kthyeon/fine_official | Implementation of a method to improve machine learning models trained with noisy labels by selecting and collaborating with high-quality samples | 39 |
 dr-darryl-wright/noisy-labels-with-bootstrapping | An implementation of training deep neural networks on noisy labels with bootstrapping using Keras | 22 |
 moucheng2017/med-noisy-labels | Provides PyTorch implementation of a method to address noisy labels in medical image segmentation. | 71 |
 udibr/noisy_labels | This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors. | 118 |
 nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
 xlearning-scu/2021-cvpr-mrl | Develops a robust learning framework to handle noisy labels in multimodal data and improve cross-modal retrieval. | 13 |
 chenpf1025/idn | Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels | 35 |
 cysu/noisy_label | A repository providing code and scripts for training image classification models on noisy labeled data | 116 |
 pokaxpoka/rognoisylabel | A Python package for robust inference via generative classifiers for handling noisy labels in machine learning. | 33 |
 ryo-ito/noisy-labels-neural-network | An implementation of a neural network training method using noisy labels | 5 |
 weijiaheng/advances-in-label-noise-learning | A curated collection of papers and resources on learning with noisy labels in machine learning | 696 |
 hongxin001/odnl | An implementation of a method to improve model robustness against inherent label noise in machine learning models | 19 |