[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression
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Updated
Sep 6, 2024 - Python
[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression
Open-source Python toolkit focused on deep learning with ordinal methodologies
A novel ordinal deep learning classification framework for lung ultrasound Covid-19 ranking
A list of ordinal datasets publicly available
A data science project to predict online pet adoption speed using image, natural language, and tabular data with a multi-modal ML framework.
[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
Implementation of the Class Distance Weighted Cross-Entropy Loss in PyTorch.
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".
CORAL and CORN implementations for ordinal regression with deep neural networks.
This is my final work for the University of Granada
Repository of the COLING 2022 paper : Ordinal Log-Loss - A simple log-based loss function for ordinal text classification.
Work involving multiple losses for ordinal classification
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.
Ordinal Regression and Classification Algorithms
Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.
Classifying classes with ordinality
43th place (top2%) Solution for Kaggle APTOS 2019 Blindness Detection
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