There are 12 repositories under model-monitoring topic.
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.
🐢 Open-Source Evaluation & Testing for LLMs and ML models
Open-source observability for your LLM application, based on OpenTelemetry
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
MLOps workshop with Amazon SageMaker
🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
Toolkit for evaluating and monitoring AI models in clinical settings
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.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
A python library to send data to Arize AI!
"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.
Experiments with Model Training, Deployment & Monitoring
A modern, enterprise-ready business intelligence web application
MLOps for deploying a Credit Risk model
This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
Model Monitoring using Prometheus and Grafana
create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools
Java client to interact with Arize API
Repo for my MLOps Zoomcamp project
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Aditi @ Building Production Grade LLMs - * Thank you AI community for visiting my repository - Stay tuned for awesome Dev-ops AI Learning Resources ** ** If you find the repository useful please give it a star - Thank you for visiting my repository - Happy Learning **
Example projects for Arthur Model Monitoring Platform
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
fastapi + prometheus + grafana 💣
Demonstrate how to use graphana to easily create dashboard from data in postgres without redeveloping dashboard UI using angular/react etc. Example use case is machine learning model monitoring
Notes, homeworks, and projects for MLOps Zoomcamp @ datatalks.club