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8 search results found
Evidently
⭐
4,348
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Deepchecks
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3,206
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.
Nannyml
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1,695
nannyml: post-deployment data science in python
Frouros
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153
Frouros: an open-source Python library for drift detection in machine learning systems.
Waterdip
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40
Open-source ML Observability Platform
Ml_observability_course
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38
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Awesome Ml Monitoring
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11
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Evidently Data Analysis
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5
A ⚡️ Lightning.ai ⚡️ component for train and test data drift detection
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1-8 of 8 search results
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