📚 Papers & articles of companies sharing their work on applied data science & machine learning.

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings.

Collect, aggregate, and visualize a data ecosystem's metadata

⚡ CLI data documentation tool & catalog.

Object Oriented Internet - C# deliverables supporting a new Machine To Machine (M2M) communication architecture

WG3 Metadata Specification

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Toolkit for discovering and aggregating data for whole-cell modeling

Metamapper is a self-updating data catalog with full-text search

A system for managing files and file replicas across many diverse sites

Deep Web Extractor (DWX): Deep Web Extractor system is using statistical machine learning models for crawling and data discovery from the Deep Web (i.e., massive and quality portion of World Wide Web) to build knowledge based databases.

MentoriaDSA

Dataset Mention Extraction and Classification Baselines

Just a personal fork - see docs here:

A frontend for CKAN searches, so that we can experiment with result display

Front-end service library for Amundsen