01
Maintained2026
LLM Steering
Local activation-steering and representation-engineering workbench with API, UI, tests, and experiment manifests.
- Why it matters
- Makes model-behavior experiments inspectable and repeatable.
- Limitation
- Research behavior does not imply general model control or safety.
PyTorchTransformersFastAPIReact
02
Reference implementation2026
Hospital Readmission FHIR ML API
Synthetic FHIR-facing API with deterministic demo scoring, explanations, tests, and clear safety boundaries.
- Why it matters
- Shows API and interoperability contracts without pretending a demo score is a validated clinical model.
- Limitation
- Synthetic deterministic scorer; not clinically validated.
FastAPIFHIRPythonDocker
03
Reference implementation2025
HL7 AI Challenge Platform
Standards-oriented public architecture for HL7/FHIR event flow, prediction services, care orchestration, and SMART/CDS surfaces.
- Why it matters
- Demonstrates interoperability architecture as a separate public reference.
- Limitation
- Not the Let’s Talk Doc award project and not represented as its winning repository.
HL7 v2FHIR R4RabbitMQCDS Hooks
04
Research2025
Local Document AI
Privacy-preserving PDF parsing, retrieval, local inference, and a lightweight review interface.
- Why it matters
- Provides public code for techniques adjacent to on-premises professional work.
- Limitation
- Public experiment; not a replica of an employer system.
OllamaRAGStreamlitOCR
05
Research2024
FreshTrack AI Module
OCR and structured-extraction service patterns for turning document images into typed outputs.
- Why it matters
- Explores document-to-data contracts and parsing failure states.
- Limitation
- Dependency-heavy research module; no real receipts or payment data are published here.
FastAPIOCRTesseractLLM parsing
06
Historical2024
ChatWithWiki Azure ML
Retrieval workflow assembled with Azure ML Prompt Flow over public knowledge sources.
- Why it matters
- Shows an earlier managed-cloud RAG implementation path.
- Limitation
- Historical demonstration; not actively positioned as a flagship.
Azure MLPrompt FlowRAG
07
Research2025
AlphaQuant
Local-first multi-agent research intelligence and forecasting architecture.
- Why it matters
- Explores orchestration, verification, storage, and evaluation outside the primary healthcare lane.
- Limitation
- Engineering research only; not investment or trading advice.
AgentsLocal modelsBacktestingReact
08
Archived2024
NFL Forecasting Archive
Historical model comparison, calibration, and backtesting experiments.
- Why it matters
- Preserves evidence of forecasting and probability-quality work.
- Limitation
- Archived analysis; not betting advice and not a maintained recommendation system.
XGBoostEloCalibrationBacktests