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ml-monitoring

🌀 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

Python
937
1 年前

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

Go
520
2 年前

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Python
183
2 年前

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

Jupyter Notebook
94
2 年前

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

Jupyter Notebook
91
5 个月前

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

Jupyter Notebook
18
4 年前

🕵🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases

Jupyter Notebook
14
4 年前

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

Go
10
2 年前
Jupyter Notebook
5
2 年前

Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

Jupyter Notebook
4
3 年前

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.

Python
3
7 个月前

🌾Predicting Prices of Agri-Horticulture Commodities This project aims to build a machine learning-based prediction system for forecasting the prices of various agricultural and horticultural commodities. The goal is to help farmers, traders, and policymakers make data-driven decisions based on historical price trends and market insights.

HTML
0
1 个月前