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!
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.
Download all of the Jeffrey Epstein court records with this Python script! Mirror of https://git.graveyard.sh/OfficialB/doj-epstein-crawler
downloads .pdf files from DOJ website / epstein data-sets
Interactive D3.js visualization of the Epstein Files Transparency Act (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.
Download documents from the Epstein Files 2026. CVS Direct Downloader or via web.
it's just a forked repo
EF-DL - CLI tool to automate the downloading of the Epstein Files by search term to help expedite the processing of the files. (Must be 18+ years of age to use)
This analysis employs established methodologies from computational social science, legal informatics, and criminal network analysis, with all claims directly supported by primary Epstein Files Transparency Act (EFTA) document citations. It provides an overview of the materials suitable for use by researchers, journalists, and legal professionals.
discord bot that permit users search to epstein files
A data-driven audit of the 'Geopolitical Thermostat,' documenting how timed information disclosure regulates public attention to enable structural shifts in policy and capital flows.
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