Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Chronic Disease Prediction Using Medical Notes

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

YOLOv7 to detect bone fractures on X-ray images

Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

A Dataset for Cover Song Identification and Understanding

A collection of automatically-updated, ready-to-use and open-licensed datasets

Historical Mutual Funds data

Dataset files for the Open Data on GitHub paper

Juptyer notebook tutorials on using the data in the AWS pacific-sound registry for ocean soundscape research, education, and the arts

Open Data distributed by the city of Milan in an easy to use format (GeoJSON) and some experiments

Indian Mutual Funds information

Data repository gathering COVID-19 data from multiple sources to power the RDS COIVD-19 API. Updated daily.

The Vermont Zoning Atlas is a web-based geospatial interface that visualizes zoning code distributions across all of Vermont.

Open data repository for all power plants in Vietnam. Information includes capacity, coordinates, commissioning year, and plant names.

CLI pipeline for Planet, Satellogic, Digital Globe & Google Earth Engine Imagery

TID-AD-ASTRA (“To the Stars”) is an explainable-AI system that interprets planetary data from NASA’s Exoplanet Archive and the Open Exoplanet Catalogue. It predicts exoplanet habitability and provides transparent explanations behind every decision — helping scientists, educators, and explorers understand how AI perceives alien worlds.

All scrapers for covid19

Urban Disaster Monitor: AI-powered computer vision app using YOLOv11 to detect and classify civilians, rescuers, and animals in urban disaster scenarios.