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Jupyter Notebook data-drift Projects
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evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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eurybia
âš“ Eurybia monitors model drift over time and securizes model deployment with data validation
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: [P] Free open-source ML observability course: starts October 16 🚀 | /r/MachineLearning | 2023-10-15Hi everyone, I’m one of the creators of Evidently, an open-source (Apache 2.0) tool for production ML monitoring. We’ve just launched a free open course on ML observability that I wanted to share with the community.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-10-15.
Jupyter Notebook data-drift related posts
- [P] Free open-source ML observability course: starts October 16 🚀
- Free Open-source ML observability course
- [D] Do we really need 100B+ parameters in a large language model?
- State of the Art data drift libraries on Python?
- Launch HN: Evidently AI (YC S21) – Track and Debug ML Models in Production
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
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