coteaching_plus
Co-teaching algorithm
This project implements a PyTorch-based co-teaching algorithm to improve generalization against label corruption in machine learning.
ICML'19: How does Disagreement Help Generalization against Label Corruption?
21 stars
1 watching
3 forks
Language: Python
last commit: over 5 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| bhanml/co-teaching | This project provides an implementation of Co-teaching, a method for training deep neural networks with extremely noisy labels. | 492 |
 benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |
 yourtion/learningmasteringalgorithms-c | A comprehensive C programming project covering various algorithms and data structures | 747 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
| bhanml/masking | A project implementing a novel approach to noisy supervision in machine learning using masked loss correction and adaptation | 54 |
| benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
 minglllli/cbafed | A PyTorch implementation of a method for improving semi-supervised learning in federated settings by adapting pseudo labels to balance classes. | 7 |
 byungkwanlee/collavo | Develops a PyTorch implementation of an enhanced vision language model | 93 |
 prabhuomkar/pytorch-cpp | A C++ implementation of PyTorch tutorials | 1,965 |
 cogcomp/lbjava | An open-source software project providing tools and examples for building machine learning models in Java | 13 |
| cogcomp/saul | A language that facilitates designing machine learning models with flexible configurations | 64 |
 cylance/introductiontomachinelearningforsecuritypros | A collection of examples and code snippets teaching machine learning concepts to security professionals through hands-on Python projects | 150 |
 benyamindsmith/ig.degree.betweenness | An R package implementing community detection algorithm from a graph theory paper | 33 |
 matenure/fastgcn | Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency | 519 |