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.

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

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

Work involving multiple losses for ordinal classification

Multivariate analysis (MVA) of high dimensional heterogeneous data

Assignments, Projects and other course related material.

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

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

This is my final work for the University of Granada

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

Ordinal Triplet Loss

A list of ordinal datasets publicly available

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

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

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