A data science project to predict online pet adoption speed using image, natural language, and tabular data with a multi-modal ML framework.
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Updated
May 24, 2024 - Jupyter Notebook
A data science project to predict online pet adoption speed using image, natural language, and tabular data with a multi-modal ML framework.
Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.
A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking
Work involving multiple losses for ordinal classification
Assignments, Projects and other course related material.
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
Multivariate analysis (MVA) of high dimensional heterogeneous data
[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression
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".
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)
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