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

Ordinal Regression and Classification Algorithms

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

43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection

Open-source Python toolkit focused on deep learning with ordinal methodologies

Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.

A package to build Gradient boosted trees for ordinal labels

[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction

Classifying classes with ordinality

Official Code of AAAI 2023 paper "Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning".

Work involving multiple losses for ordinal classification

[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression

A list of ordinal datasets publicly available

A data science project to predict online pet adoption speed using image, natural language, and tabular data with a multi-modal ML framework.

Implementation of the Class Distance Weighted Cross-Entropy Loss in PyTorch.

Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.

Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.

Multivariate analysis (MVA) of high dimensional heterogeneous data

Ordinal Triplet Loss

Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.