Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

H2O.ai Machine Learning Interpretability Resources

Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.

A library that implements fairness-aware machine learning algorithms

The first AI plugin that speaks first. Code-enforced learning + active forgetting + PAC (Proactive Accountability Challenge). Works with Claude Code, Gemini CLI, Hermes, OpenClaw.

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

A national archive of police data collected by journalists, lawyers, and activists around the country.

youtube & tiktok analysis + youchoose recommendation custmizer. backend, extensions, and tooling

Public-records archive and research tools for the DOJ Epstein files, with document indexes, manifests and visualizations. https://ringmast4r.github.io/Epstein/flights.html

The OpenPoliceData (OPD) Python library is the most comprehensive centralized public access point for incident-level police data in the United States. OPD provides easy access to 550+ incident-level datasets from 236 police agencies and 11 entire states. Types of data include traffic stops, use of force, officer-involved shootings, and complaints.

Track Indian Parliamentary Committee reports from sansad.in

A curated list of tools and resources for online adult content/porn filtering

Self-hosted platform for documenting human rights violations and war crimes. Link evidence, actors and incidents with access control and revision history.

Project Lockdown (an initiative from The IO Foundation) is a civic tech, interactive platform providing an overview of the state of Human and Digital Rights around the globe. It evaluates policies obtained from official sources that may impact their observance. It provides, among other tools, a layered map interface that allows for a visual repr…

SenateTrades: what stocks are your senators buying?

Proof of Understanding. Starting with GitHub: show that you understand the change before it merges.

Personal Productivity & Accountability OS -Turn Intent Into Discipline with server-authoritative commitments, time-blocked planning, and proof-of-work verification.

A Python wrapper for the OpenFEC API.

A cognition kernel that wraps a frozen LLM in a persistent identity + trust + governance loop — testing whether capability comes from structure, not weights. Research-stage; honest about what's real vs mocked.

Chilean Municipalities Information System (SINIM) Wrapper 📈🏛🇨🇱