Free MLOps course from DataTalks.Club
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Updated
Jul 16, 2024 - Jupyter Notebook
Free MLOps course from DataTalks.Club
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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.
AI Observability & Evaluation
nannyml: post-deployment data science in python
Open-source observability for your LLM application, based on OpenTelemetry
MLOps workshop with Amazon SageMaker
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Version, share, deploy, and monitor models.
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
A python library to send data to Arize AI!
Toolkit for evaluating and monitoring AI models in clinical settings
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
MLOps for deploying a Credit Risk model
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
A modern, enterprise-ready business intelligence web application
create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools
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