D
deepchecks
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
★4.0kstars
Python
NOASSERTION
Updated: 2d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Security & Governance category, core strengths: data-drift/data-science
Who made it?Maintained by deepchecks team, 4K⭐ on GitHub, #64 out of 413 in Security & Governance
Why does it exist?With the growing demand for data-drift and data-science in Security & Governance, deepchecks created deepchecks as a streamlined solution.
What can it do?Key use cases: data-validation, deep-learning, html-report
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/deepchecks/deepchecks | 官网 https://docs.deepchecks.com/stable
🔗 github.com/deepchecks/deepchecks | 官网 https://docs.deepchecks.com/stable
Topics
data-driftdata-sciencedata-validationdeep-learninghtml-reportjupyter-notebookmachine-learningmlmlopsmodel-monitoringmodel-validationpandas-dataframepythonpytorch