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Free MLOps course from DataTalks.Club
Created
2021-10-21
508 commits to main branch, last one 7 days ago
Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Created
2020-11-25
2,476 commits to main branch, last one 7 hours ago
Open-source observability for your LLM application, based on OpenTelemetry
Created
2023-09-02
966 commits to main branch, last one 13 hours 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
1,496 commits to main branch, last one 2 months ago
nannyml: post-deployment data science in python
Created
2022-01-26
1,271 commits to main branch, last one 27 days ago
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
Created
2023-09-27
309 commits to main branch, last one 28 days ago
β Eurybia monitors model drift over time and securizes model deployment with data validation
Created
2022-05-02
124 commits to master branch, last one 3 months ago
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Created
2022-09-09
151 commits to main branch, last one about a year ago
MLOps workshop with Amazon SageMaker
Created
2021-03-10
158 commits to main branch, last one 4 months ago
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML πΈ
Created
2021-07-29
396 commits to master branch, last one about a year ago
A toolkit for evaluating and monitoring AI models in clinical settings
Created
2022-02-21
549 commits to main branch, last one 4 days ago
π Stream inferences of real-time ML models in production to any data lake (Experimental)
Created
2022-02-09
1 commits to main branch, last one 2 years 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 about a year ago
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data π
Created
2022-04-20
1 commits to main branch, last one 2 years ago
Version, share, deploy, and monitor models.
Created
2021-12-09
710 commits to main branch, last one about a month ago
A python library to send data to Arize AI!
Created
2020-03-05
206 commits to main branch, last one 5 days ago
High-scale LLM gateway, written in Rust. OpenTelemetry-based observability included
Created
2024-10-24
28 commits to main branch, last one 2 months ago
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
Created
2023-08-27
18 commits to master branch, last one 6 months ago
Experiments with Model Training, Deployment & Monitoring
Created
2022-09-06
51 commits to master branch, last one 2 months ago
A modern, enterprise-ready business intelligence web application
Created
2022-08-28
186 commits to master branch, last one 2 years ago
MLOps for deploying a Credit Risk model
Created
2023-04-24
76 commits to main branch, last one about a year ago