Assignments, Projects and other course related material.
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Updated
Dec 9, 2017 - Jupyter Notebook
Assignments, Projects and other course related material.
Multivariate analysis (MVA) of high dimensional heterogeneous data
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
Classifying classes with ordinality
Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.
Ordinal Regression and Classification Algorithms
Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Work involving multiple losses for ordinal classification
Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.
This is my final work for the University of Granada
CORAL and CORN implementations for ordinal regression with deep neural networks.
Official Code of AAAI 2023 paper "Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning".
A package to build Gradient boosted trees for ordinal labels
Implementation of the Class Distance Weighted Cross-Entropy Loss in PyTorch.
[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
A data science project to predict online pet adoption speed using image, natural language, and tabular data with a multi-modal ML framework.
A list of ordinal datasets publicly available
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