all kinds of text classification models and more with deep learning
Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID
🔬 Code-free deep segmentation for computational pathology
Reuters-21578 multi-class multi-label Classification with Keras
End-to-end Multi-task Solutions for Aspect Category Sentiment Analysis (ACSA) on Vietnamese reviews, using PhoBERT as pretrained model
An implementation of the algorithm proposed in our SIGGRAPH Asia 2021 technical paper "Multi-Class Inverted Stippling".
Multiclass and multilabel datasets in Vowpal Wabbit format
This repo contains some benchmarks for evaluating Multi-view Multi-class machine learning algorithms.
Semantic Affinity-Aware Weakly Supervised Learning for Multi-Class Medical Image Segmentation with Slice-Level Labels
Package provides java implementation of algorithms in the field of adaptive resonance theory (ART)
Basics for Multi-class text Classification using different classifier algorithms.
Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.
Multiclass and multilabel datasets in fastText format
A new multi-class ensemble classification algorithm based on Kalman filters
Kaggle competition - "iWildCam 2019"
Toolbox for interpolating from an uneven grid
Predict health outcomes based on sleep, health, and lifestyle factors using supervised machine learning models (Logistic Regression, Decision Tree, Random Forest). Includes feature importance analysis and performance evaluation.
Multi-class Segmentation Examples with U-Net.
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