tdlabs-ai/tanml
Automated validation toolkit for tabular ML models in finance and regulated domains.
This toolkit helps financial institutions and other regulated industries validate their tabular machine learning models for compliance and risk management. You input your model's data, and it produces comprehensive, audit-ready reports in .docx format. This is ideal for model risk managers, compliance officers, and data scientists working in highly regulated environments.
Available on PyPI.
Use this if you need to thoroughly validate your machine learning models built on tabular data and generate formal documentation for regulatory audits or internal governance in finance, insurance, or similar regulated sectors.
Not ideal if you are looking for a general-purpose ML monitoring tool for real-time model performance or if your primary need is to build and train new models from scratch without a strong focus on regulatory validation.
Stars
7
Forks
—
Language
Python
License
MIT
Last pushed
Mar 10, 2026
Monthly downloads
164
Commits (30d)
0
Dependencies
15
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