AI system discovery and risk mapping for agentic architectures. Generates CycloneDX AIBOMs with topology and risk classification.
-
Updated
Jul 5, 2026 - Python
AI system discovery and risk mapping for agentic architectures. Generates CycloneDX AIBOMs with topology and risk classification.
Deterministic EU AI Act classifier with source-backed review rows, obligation links, dossier artifacts, and blocked external actions.
POC de monitoramento agrícola com dados espaciais, ESP32/DHT22, Machine Learning e Streamlit para classificação de risco e recomendações agrícolas.
A machine learning tool that predicts the risk of loan default using borrower financial data and outputs model probabilities and classifications from logistic regression, XGBoost, and a neural network.
AI system registry and governance tracker with EU AI Act risk classification, impact assessments, and a compliance dashboard — built for legal and compliance teams.
EU AI Assurance OS — governance control plane for EU AI Act release readiness (Next.js 16 + Spring Boot 3.3)
Clean-room project exploring reviewable, testable, accountable human-AI collaboration workflows.
Claude Code plugin for structured change management — risk classification (P0-P3), multi-domain collaborative analysis, adversarial spec review, implementation verification, and business impact analysis.
Guardrail API for detecting personalized mental-health advice with explainable safe/unsafe decisions. Docker-first, FastAPI, Cloud Run-ready, with auth, rate limits, and cost controls.
A FastAPI service that classifies AI use cases against EU AI Act risk tiers: Unacceptable, High, Limited, or Minimal risk.
NSCLC Radiomics: Survival Time prediction using CT-extracted features and clinical data.
Injury prediction model using machine learning to analyze factors like workload, player metrics, and environmental conditions. It identifies injury risk patterns early, enabling preventive actions, improved training decisions, and reduced injury occurrence in athletes.
Experimental Claude Code skill for solo builders: structured prompts and reference checklists that surface the invisible production layer (security, GDPR, scaling, bus factor) of any build. No warranty; not legal or security advice.
SQL-Analyse eines Kreditportfolios (32.581 Datensätze) mit Risikoklassifikation in MySQL, Projektarbeit IHK Data Analyst (DataSmart Point, 2026)
LLM complaint insights: Structured summaries, risk tags, and entity extraction on CFPB consumer complaints — built with OpenAI + LangChain, MLflow, Streamlit.
A human-in-the-loop after-sales triage workspace with deterministic safety guardrails
Reference repository outlining protocol-level risk and liability classification concepts; taxonomy reference, not insurance or financial advice.
120-Tool Autonomous AI Command Center - EU AI Act Compliance - Multi-Agent MCP + A2A Protocol - Nexus Control Center
Free EU AI Act compliance checker. Classify your AI system, get risk tier + actionable requirements in under 2 minutes. Static site, no backend, BYOK.
Automated EU AI Act (2024/1689) compliance checker: classify risk, check obligations, generate audit-ready reports and dashboards.
Add a description, image, and links to the risk-classification topic page so that developers can more easily learn about it.
To associate your repository with the risk-classification topic, visit your repo's landing page and select "manage topics."