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Top 4 Jupyter Notebook model-monitoring 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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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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eurybia
âš“ Eurybia monitors model drift over time and securizes model deployment with data validation
There is MLOps Zoomcamp course (which shows end-to-end MLOps process with open-source MLOps tools) https://github.com/DataTalksClub/mlops-zoomcamp.
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.
11. Phoenix by Arize AI | Github | tutorial
Jupyter Notebook model-monitoring related posts
- [P] Free open-source ML observability course: starts October 16 🚀
- Free Open-source ML observability course
- Where do I start to learn MLOPS?
- How to start with MLops
- As an engineer moving into the DS field, I got my first job offer. Does it sound reasonable?
- 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 - SaaSHub
www.saashub.com | 25 Apr 2024
Index
What are some of the best open-source model-monitoring projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | mlops-zoomcamp | 8,735 |
2 | evidently | 4,619 |
3 | phoenix | 2,586 |
4 | eurybia | 203 |
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