OPEN SOURCE
Building ML Infrastructure in the Open
Alliance AI contributes production-grade machine learning tools to the open-source community. Our frameworks power clinical research and enterprise ML systems.
Endgame
Production ML FrameworkProduction-aware machine learning under the scikit-learn API. Calibrated probabilities, interpretable models, deployment guardrails, and agent-ready via MCP.
Calibrated probabilities, conformal prediction, leakage detection, latency constraints. Models built for production, not just accuracy.
30+ glass-box models (EBM, GAM, CORELS, GOSDT, SLIM). Glass-box models match GBDT accuracy while remaining fully auditable.
Built-in Model Context Protocol server. AI agents (Claude, Copilot) can build, evaluate, and deploy ML pipelines through natural language.
15-stage pipeline with quality guardrails, HPO, ensembling, threshold optimization, calibration, and explainability. Time-budgeted.
Interactive Reports
PIE
Clinical ML PipelineParkinson's Insight Engine — an end-to-end ML pipeline for the Michael J. Fox Foundation's PPMI dataset. Built on Endgame, PIE automates data loading, feature engineering, model training, and report generation for Parkinson's disease research.
Pipeline Stages
Contribute
Both projects are open to contributions. Whether you're a researcher, ML engineer, or just curious — we'd love your input.