A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking
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Updated
Jul 19, 2024 - Python
A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking
Assignments, Projects and other course related material.
Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
Multivariate analysis (MVA) of high dimensional heterogeneous data
This is my final work for the University of Granada
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
Implementation of the Class Distance Weighted Cross-Entropy Loss in PyTorch.
Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.
Work involving multiple losses for ordinal classification
A list of ordinal datasets publicly available
Official Code of AAAI 2023 paper "Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning".
Classifying classes with ordinality
[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
A package to build Gradient boosted trees for ordinal labels
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
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
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