ml-monitoring
Here are 22 public repositories matching this topic...
Sort:Most stars
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
- Updated
Apr 3, 2024 - Python
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
- Updated
Jun 7, 2023 - Go
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
- Updated
Jul 11, 2023 - Python
Product analytics for AI Assistants
- Updated
May 26, 2025 - Python
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
- Updated
Dec 17, 2023 - Jupyter Notebook
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
- Updated
Mar 21, 2025 - Jupyter Notebook
A python library to send data to Arize AI!
- Updated
Oct 22, 2025 - Python
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
- Updated
Nov 24, 2021 - Jupyter Notebook
🕵️🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases
- Updated
Jul 26, 2021 - Jupyter Notebook
An agent that exports telemetry for served ML models in TFServing and KFServing.
- Updated
Mar 27, 2023 - Go
Java client to interact with Arize API
- Updated
Sep 19, 2024 - Java
Example projects for Arthur Model Monitoring Platform
- Updated
Apr 21, 2023 - Jupyter Notebook
Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
- Updated
Jun 20, 2022 - Jupyter Notebook
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.
- Updated
Feb 2, 2025 - Python
Production-grade MLOps: Model deployment, monitoring, feature stores, and ML pipelines for real-world AI systems.
- Updated
Nov 10, 2025 - Python
End-to-end MLOps pipeline with Airflow ETL orchestration, Redis feature store, and real-time ML monitoring using Prometheus & Grafana with automated data drift detection
- Updated
Oct 30, 2025 - Jupyter Notebook
Production-style ML monitoring template on the Wine Quality (red) dataset: Evidently (data/target/prediction drift, data quality) + adversarial validation, PSI/JS effect sizes, SHAP/PDP, slice analysis, and an Alert Policy with actions
- Updated
Oct 7, 2025 - Jupyter Notebook
ML Monitoring with EvidentlyAI
- Updated
Jan 4, 2024 - Jupyter Notebook
🌐 Language identification for Scandinavian languages
- Updated
Jan 5, 2021 - Python
Improve this page
Add a description, image, and links to theml-monitoring topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with theml-monitoring topic, visit your repo's landing page and select "manage topics."