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ml-monitoring

Here are 23 public repositories matching this topic...

iusztinpaul / energy-forecasting

🌀 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

RunLLM / aqueduct

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

python kubernetes data-science data machine-learning ai ml python3 orchestration ml-infrastructure mlops ml-monitoring llm llms

Updated Jun 7, 2023
Go

whitebox

squaredev-io / whitebox

[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

trubrics-python

trubrics / trubrics-python

Product analytics for AI Assistants

machine-learning mlops streamlit ml-monitoring llm human-feedback llmops model-feedback

Updated May 26, 2025
Python

evidentlyai / ml_observability_course

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

data-quality-checks data-quality production-machine-learning mlops model-monitoring machine-learning-operations model-performance data-drift ml-pipelines ml-monitoring ml-observability llmops

Updated Dec 17, 2023
Jupyter Notebook

Azure-Samples / azure-databricks-mlops-mlflow

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

python azure ml databricks databricks-notebooks ml-production mlops mlflow ml-ops ml-operations mlflow-projects ml-monitoring

Updated Mar 21, 2025
Jupyter Notebook

Arize-ai / client_python

A python library to send data to Arize AI!

performance-monitoring data-quality-monitoring model-monitoring ml-monitoring model-explainability ai-monitoring drift-monitoring ml-observability ai-observability model-performance-management ai-roi

Updated Dec 4, 2025
Python

vishwa-labs / vishwa-ml-sdk

Python SDK for vishwa.ai

prometheus mlops ml-monitoring langchain llmops

Updated Jan 29, 2024
Python

anomaly-detection-platform

koushikvikram / anomaly-detection-platform

🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.

python docker machine-learning dashboard grafana jupyter-notebook prometheus caddy anomaly-detection real-time-monitoring mlops real-time-machine-learning fastapi ml-engineering ml-platform ml-deployment ml-monitoring koushikvikram koushik-vikram

Updated Nov 24, 2021
Jupyter Notebook

alvarobartt / ml-monitoring-with-wandb

🕵️🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases

machine-learning monitoring pytorch torchvision pytorch-lightning wandb weights-and-biases ml-monitoring

Updated Jul 26, 2021
Jupyter Notebook

MetricRule / metricrule-agent-go

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

agent metrics sidecar tensorflow-serving-rest-api kfserving ml-monitoring sidecar-agent

Updated Mar 27, 2023
Go

Arize-ai / client_java

Java client to interact with Arize API

performance-monitoring data-quality-monitoring model-monitoring ml-monitoring model-explainability ai-monitoring drift-monitoring ml-observability ai-observability model-performance-management ai-roi model-observability

Updated Sep 19, 2024
Java

arthur-ai / arthur-sandbox

Example projects for Arthur Model Monitoring Platform

model-monitoring ai-explainability ml-monitoring model-explainability ai-monitoring ml-observability ai-observability model-performance-management

Updated Apr 21, 2023
Jupyter Notebook

bodywork-pipeline-with-aporia-monitoring

bodywork-ml / bodywork-pipeline-with-aporia-monitoring

Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

python kubernetes machine-learning mlops ml-serving ml-training ml-monitoring

Updated Jun 20, 2022
Jupyter Notebook

armeggaddon / MLflow-as-a-decorator

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.

mlflow ml-monitoring ml-tracking

Updated Feb 2, 2025
Python

umitkacar / awesome-mlops

Production-grade MLOps: Model deployment, monitoring, feature stores, and ML pipelines for real-world AI systems.

docker kubernetes airflow cicd data-versioning model-deployment model-serving dvc kubeflow mlops mlflow feature-store feast ml-pipeline model-registry production-ml experiment-tracking ml-monitoring

Updated Nov 10, 2025
Python

imchandanmohan / airflow-etl-ml-monitoring-pipeline

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

KonNik88 / drift-monitoring-wine-quality

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

machine-learning psi pdp wine-quality shap data-drift ml-monitoring model-drift evidently

Updated Oct 7, 2025
Jupyter Notebook

iQuantC / ML_Drift-Detection_Monitoring_System

In this project, we give a practical, end-to-end MLOps project that detects data / concept drift, exports drift metrics to Prometheus, visualizes & alerts in Grafana, Alertmanager, and Slack.

slack docker grafana prometheus alertmanager mlops drift-detection ml-monitoring

Updated Dec 17, 2025
Python

mathewsrc / machine-learning-monitoring-with-evidently

ML Monitoring with EvidentlyAI

machine-learning pyspark soda extract-transform-load prefect pyspark-mllib mlflow ml-monitoring evidentlyai

Updated Jan 4, 2024
Jupyter Notebook

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