model-cards

A toolkit that streamlines and automates the generation of model cards

Track 33,707+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.

Gate and compare model cards against a requirements schema - check completeness, diff two versions, and fail CI when the story changes.

A vendor-neutral, pattern-first AI strategy playbook by Textstone Labs. Practical frameworks, governance models, evaluation tools, and ready-to-use templates to go from business problem → deployment → adoption.

LinkML rendering of model cards

Small program to scrape model repository data from the Hugging Face Hub

GitHub-native ML System Cards: evidence-backed, PR-first documentation for ML systems

Data Cards for Time Series

A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents. Train, compare, explain, export, and deploy scikit-learn models without the boilerplate.

How to document an AI/Machine Learning Model

Provenance-first, versioned observatory of frontier AI models — releases, cards, prompts, evaluations, and evidence-bearing claims, for humans and models.

Model validation for GitHub pull requests — regression detection, data quality checks, and model cards in one Action. No server required.

Drop-in GitHub Actions that enforce UAE PDPL, GDPR, and EU AI Act requirements in CI: PII scanning with Emirates ID/UAE IBAN detection, EU AI Act model card validation, OPA policy-as-code for Terraform, and auditor-ready evidence packs.

A licence, model-weights and platform-terms scanner that returns a verdict, not a report: can I ship this, and if not, exactly which clause blocks me?

AI governance for healthcare ML. Bias detection, fairness metrics, FDA-ready model cards, responsible AI.

Foundation Model for Medicine — fairness/bias evaluation CLI for medical AI (research)

AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.

NLP verdict classification of ColombiaCheck fact-checks (Spanish · BETO) — with model cards, datasheets, and data statements.

🤖 Production-ready Python registry for OpenAI models with parameter validation, pricing data, and CLI tools. Supports GPT-5, Azure OpenAI, automated updates, and enterprise deployment.

Evidence-backed catalog of AIGC models and datasets: training-data strategies, access, licensing, and model–dataset lineage. Updated daily.