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)

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.

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

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

Classifying classes with ordinality

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

Ordinal Losses for Classification of Cervical Cancer Risk

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

Ordinal Triplet Loss

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

Example-Script to load data from a database and classify by the K-Nearest Neighbor (KNN) Algorithm.

Research repository

Optimized Rounder: An efficient optimizer for finding optimal thresholds in ordinal classification problems. This package uses Optuna for efficient threshold search with support for cross-validation and multiple evaluation metrics.

A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking