There are 4 repositories under ordinal-regression topic.
Fast Best-Subset Selection Library
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
CORAL and CORN implementations for ordinal regression with deep neural networks.
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Ordinal regression models in PyTorch
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
An attempt to diagnose Alzheimer's disease earlier
A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Tensorflow implementations of ordinal regression
Surrogate residuals for cumulative link and general regression models in R
Introduce order in your classification within 1 line
A package to build Gradient boosted trees for ordinal labels
Ordinal Regression for mlr3
Code for MICCAI 2023 publication: SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
基于车载图像序列的路况分析
Using machine learning to classify the number of stars associated with a yelp review based on the text
Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.
Deeper IMPACT: Ordinal Models for Outcome Prediction After Traumatic Brain Injury
Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.
Ordinal sequential regression models in R
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
This repository is on Machine Learning using Python 3.8.3 using Visual Studio Code. Most of the programs are from IBM Machine Learning course and some algorithms (course out of scope) are presenterd only for learning purpose. These codes will be on topics like Regression, Classification, Clustering and Recommender Systems.