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@mlop-ai

mlop

m:lop

A tool for understanding and improving ML models

Application | Documentation | GitHub

mlop is a fully open source dev tool for machine learning engineers that traces key metrics of model training, all the way down to the parameters and gradients level. Unlike other tools, we are laser focused on efficiency and stability. Our platform is designed from the ground up to be fast and scalable - we help you catch issues early and prevent wasted compute.


📚 Our Stack

  • Server
    • Rust - the ultra-performant data ingestion service
    • Node.js - the web application
    • Python - miscellaneous enrichment services
  • Client
    • Python - a super lightweight and truly asynchronous logging system

🫡 Our Vision

mlop is a platform built for and by ML engineers, supported by our community! We were tired of the current state of the art in ML observability tools, and this tool was born to help mitigate the inefficiencies - specifically, we hope to better inform you about your model performance and training runs; and actually save you, instead of charging you, for your precious compute time!

🌟 Be sure to star our repos if they help you ~

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  1. mlop mlop Public

    Next Generation Experimental Tracking for Machine Learning Operations

    Python 347 5

  2. server server Public

    Serving Next Generation Experimental Tracking for Machine Learning Operations

    Shell 12

  3. ingest ingest Public

    Rust 4

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