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 **Superseded by the models-by-example repo**.

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

Fast Best-Subset Selection Library

Ordinal Regression and Classification Algorithms

An attempt to diagnose Alzheimer's disease earlier

CORAL and CORN implementations for ordinal regression with deep neural networks.

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Ordinal regression models in PyTorch

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

A Python/C++ implementation of Bayesian Factorization Machines

Ordinal regression in Python

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

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

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 Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression

Deep Ordinal Regression with Label Diversity

Surrogate residuals for cumulative link and general regression models in R

Raw files for a document that provides an overview of models for the case of a categorical dependent variable.

Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes