production-machine-learning

There are 14 repositories under production-machine-learning topic.

  • EthicalML/awesome-production-machine-learning

    A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

    16.5k407722.2k

  • evidentlyai/evidently

    Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

    Language:Jupyter Notebook4.8k46356533

  • SeldonIO/seldon-core

    An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

    Language:HTML4.3k822.3k825
  • Issue-Label-Bot

    machine-learning-apps/Issue-Label-Bot

    Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

    Language:SCSS324294585

  • MAIF/eurybia

    ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

    Language:Jupyter Notebook20461924

  • 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.

    Language:Jupyter Notebook605118

  • katonic-dev/explainit

    A modern, enterprise-ready business intelligence web application

    Language:Python320274

  • modzy/sdk-python

    Python library for Modzy Machine Learning Operations (MLOps) Platform

    Language:Python24663

  • modzy/sdk-javascript

    The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.

    Language:TypeScript16433

  • modzy/sdk-java

    The official Java library for the Modzy Machine Learning Operations (MLOps) Platform

    Language:Java11521

  • modzy/sdk-go

    The Golang library for Modzy Machine Learning Operations (MLOps) Platform

    Language:Go3201

  • GrandGarcon/KaggleAwesomeKernels

    Sharing my journey to be fluent in writing machine learning models for interesting datasets from competitions from kaggle , AICrowd and other ensemble of deep learning model techniques and then trying to get them to production.

    Language:Jupyter Notebook1001

  • prathamsolanki/bank-marketing-production-ml

    End to end machine learning models deployment to production for a bank marketing problem.

    Language:Jupyter Notebook0200

  • gh-osama/productionml

    ProductionML.{org,com} website

    Language:HTML