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 **Superseded by the models-by-example repo**.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

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

Ordinal regression in Python

A Python/C++ implementation of Bayesian Factorization Machines

An attempt to diagnose Alzheimer's disease earlier

Deep Ordinal Regression with Label Diversity

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