Popular GitHub Repositories for Ml Monitoring

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Product analytics for AI Assistants

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

Python SDK for vishwa.ai

:detective::robot: Monitoring a PyTorch Lightning CNN with Weights & Biases

An agent that exports telemetry for served ML models in TFServing and KFServing.

Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

This repository give a heads up on how to use machine learning monitoring tool like MLflow to be used as a detached component from the actual ML workflow.

ML Monitoring with EvidentlyAI