Ordinal Regression and Classification Algorithms

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

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)

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

Classifying classes with ordinality

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

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

Ordinal Triplet Loss

A list of ordinal datasets publicly available

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.

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

Multivariate analysis (MVA) of high dimensional heterogeneous data

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

Assignments, Projects and other course related material.

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

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

Work involving multiple losses for ordinal classification

A package to build Gradient boosted trees for ordinal labels