CORAL and CORN implementations for ordinal regression with deep neural networks.
-
Updated
Aug 8, 2023 - Python
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
Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.
Open-source Python toolkit focused on deep learning with ordinal methodologies
Classifying classes with ordinality
A package to build Gradient boosted trees for ordinal labels
Official Code of AAAI 2023 paper "Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning".
[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
Work involving multiple losses for ordinal classification
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.
Multivariate analysis (MVA) of high dimensional heterogeneous data
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
This is my final work for the University of Granada
Assignments, Projects and other course related material.
A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking
Add a description, image, and links to the ordinal-classification topic page so that developers can more easily learn about it.
To associate your repository with the ordinal-classification topic, visit your repo's landing page and select "manage topics."