Popular GitHub Repositories for Ml Monitoring

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

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