Play Bad Apple and DOOM on redacted Epstein files and other documents. Implemented using KNN and feature vector.
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Updated
Dec 29, 2025 - Python
Play Bad Apple and DOOM on redacted Epstein files and other documents. Implemented using KNN and feature vector.
FULL_EPSTEIN_INDEX is a comprehensive, unified research archive aggregating public releases related to the Jeffrey Epstein estate and associated investigations.
Download all Epstein files, images, pdfs, and more!
Download all of the Jeffrey Epstein court records with this Python script! Mirror of https://git.graveyard.sh/OfficialB/doj-epstein-crawler
This repository serves as a comprehensive directory and organizational hub for Epstein-related files and documentation with a full web interface, automated workflows, and AI agent infrastructure.
it's just a forked repo
downloads .pdf files from DOJ website / epstein data-sets
This analysis employs established methodologies from computational social science, legal informatics, and criminal network analysis, with all claims directly supported by primary Epstein Files Tracking Archive (EFTA) document citations. It provides an overview of the materials suitable for use by researchers, journalists, and legal professionals.
Interactive D3.js visualization of the Epstein Files Tracking Archive (EFTA) documents. Features a document similarity network using TF-IDF cosine similarity with community detection, and an entity relationship network mapping people and organizations. Explore connections through force-directed layouts with filtering, search, and entity overlays.
A data-driven analysis of the geopolitical utility and reflexive control patterns surrounding the Jeffrey Epstein investigative files (2015-2025).
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