GitHub topics: matthews-correlation-coefficient
kakumarabhishek/MCC-Loss
Matthews Correlation Coefficient Loss implementation for image segmentation.
Language: Jupyter Notebook - Size: 311 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 12 - Forks: 4

davhbrown/interactive_classification_metrics
Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.
Language: Python - Size: 36.6 MB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 11 - Forks: 0

RezaSaadatyar/Machine-Learning-with-MATLAB
This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.
Language: MATLAB - Size: 25.8 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

Wb-az/COVID-19-classification
Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19
Language: Python - Size: 16.7 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wb-az/Transformers-Emotion-Analysis
Emotion Analysis with Transformers
Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

parham1998/Improving-Loss-Function-for-Deep-CNN-based-AIA
Official Pytorch Implementation of: "Improving Loss Function for Deep CNN-based Automatic Image Annotation"
Language: Python - Size: 608 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

parham1998/CNN_Image_Annotaion
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
Language: Python - Size: 152 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
