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 **Superseded by the models-by-example repo**.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

Ordinal Regression and Classification Algorithms

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

An attempt to diagnose Alzheimer's disease earlier

Ordinal regression in Python

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume

A Python/C++ implementation of Bayesian Factorization Machines

A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression

Deep Ordinal Regression with Label Diversity

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

A package to build Gradient boosted trees for ordinal labels

Tensorflow implementations of ordinal regression

Introduce order in your classification within 1 line

Surrogate residuals for cumulative link and general regression models in R