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Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Created
2020-11-25
2,108 commits to main branch, last one a day ago
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 model...
Created
2021-10-11
1,487 commits to main branch, last one 3 months ago
Algorithms for outlier, adversarial and drift detection
Created
2019-10-07
727 commits to master branch, last one 10 days ago
nannyml: post-deployment data science in python
Created
2022-01-26
1,128 commits to main branch, last one 2 days ago
Curated list of open source tooling for data-centric AI on unstructured data.
Created
2023-02-27
34 commits to main branch, last one 6 months ago
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Created
2022-05-02
99 commits to master branch, last one 2 months ago
Frouros: an open-source Python library for drift detection in machine learning systems.
Created
2022-03-16
964 commits to main branch, last one 10 days ago
Toolkit for evaluating and monitoring AI models in clinical settings
Created
2022-02-21
446 commits to main branch, last one 4 days ago
Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
Created
2022-05-27
239 commits to dev branch, last one 9 months ago
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Created
2023-10-05
288 commits to main branch, last one 5 months ago
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Created
2022-04-20
1 commits to main branch, last one 2 years ago