C

classification

This repository contains data and code utilized for the metric-learning based classification of the “human E3 ligome”–an extensive set of catalytic human E3s–by integrating multi-layered data, including protein sequences, domain architectures, 3D structures, functions, and expression pattern. Manuscript: https://www.biorxiv.org/content/10.1101/2025.03.09.642240v1.full.pdf

An example of tabular data regression (parameter estimates) using TabNet

[mirror] Attributes about whether foods are vegan/vegetarian for the USDA FDC FoodData database | https://v3gtb.github.io/fooddata-vegattributes/

A web app that classifies drawn digits with an image classification model trained on the MNIST dataset.

Use machine and deep learning to predict taekwondo moves from video

Testing functions and features of a music production utility app.