A toolkit that streamlines and automates the generation of model cards
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Updated
Jul 26, 2023 - Python
A toolkit that streamlines and automates the generation of model cards
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.
A single-file Python CLI that pre-registers AI/ML accuracy claims with SHA-256. Lock the threshold before the data, or it didn't happen.
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
Model validation for GitHub pull requests — regression detection, data quality checks, and model cards in one Action. No server required.
Evaluation infrastructure for AI systems beyond direct human supervision
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)
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.
License Compliance Checker — Multi-ecosystem license + AI model scanner for EU AI Act Article 53 GPAI compliance. SBOM, SARIF, training-data risk. Apache 2.0.
AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.
🤖 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.
Audit Hugging Face model/dataset cards for Turkish AI resources and write small, reproducible metadata reports. Clinician-led, open-source. No model ranking, no legal/clinical claims.
Model-card templates and release-readiness standards for future Foundation AI releases.
🤖 Lead.AI Labs — Hugging Face AI Portfolio | Model Cards, Datasets, Demo Spaces for Fraud Detection, Customer Intelligence & NLP
Local-first AI system governance tool for creating structured, inspectable governance passports covering model, data, risk, and lifecycle.
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