Jo-SRC

Similar projects

Found by comparing what the projects do, not just their names.

• ucsc-real/cal47

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• uds-lsv/multi-tasking_learning_with_unreliable_labels8

  Noisy label handling tool

  An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation.

• dr-darryl-wright/noisy-labels-with-bootstrapping22

  Deep learning on noisy data

  An implementation of training deep neural networks on noisy labels with bootstrapping using Keras

• xlearning-scu/2021-cvpr-mrl13

  Noisy label solver

  Develops a robust learning framework to handle noisy labels in multimodal data and improve cross-modal retrieval.

• xiaoboxia/t-revision97

  Noisy label solver

  A PyTorch implementation of a method for learning with noisy labels in deep neural networks

• cysu/noisy_label116

  Noisy Label Training

  A repository providing code and scripts for training image classification models on noisy labeled data

• pokaxpoka/rognoisylabel33

  Noisy label toolkit

  A Python package for robust inference via generative classifiers for handling noisy labels in machine learning.

• udibr/noisy_labels118

  Label correction mechanism

  This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors.

• ryo-ito/noisy-labels-neural-network5

  Noisy label trainer

  An implementation of a neural network training method using noisy labels

• moucheng2017/med-noisy-labels71

  Label correction library

  Provides PyTorch implementation of a method to address noisy labels in medical image segmentation.

• hongxin001/odnl19

  Label noise mitigator

  An implementation of a method to improve model robustness against inherent label noise in machine learning models

• chenpf1025/noisy_label_understanding_utilizing90

  Label noise study

  An investigation into deep learning models trained with noisy labels and methods to improve their accuracy.

• kthyeon/fine_official39

  Sample selection

  Implementation of a method to improve machine learning models trained with noisy labels by selecting and collaborating with high-quality samples

• hitcszx/lnl_sr46

  Label regularization

  An implementation of a regularization technique to improve the accuracy of deep learning models trained with noisy labels.

• chenpf1025/idn35

  Label noise toolset

  Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels