mlops-environment

There are 28 repositories under mlops-environment topic.

  • MLReef/mlreef

    The collaboration workspace for Machine Learning

    Language:Kotlin1.4k1089308
  • Azure/mlops-v2

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Language:Shell5313277265
  • mlops-guide/mlops-guide.github.io

    🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

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  • Azure/mlops-templates

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

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  • Azure/mlops-project-template

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Language:Python691618102
  • mlops-guide/dvc-gitactions

    Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper

    Language:Jupyter Notebook452117
  • mlops-guide/mlops-template

    🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/

    Language:Python25208
  • ashishpatel26/MLOps-Engineering-in-Action

    Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson

    Language:Jupyter Notebook20207
  • getindata/jupyter-images

    Receipes of publicly-available Jupyter images

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  • datadrivers/effective-guide-mlops

    Example end-to-end ml pipeline build with the Sagemaker Python SDK

    Language:Jupyter Notebook4202
  • Vedant-S/MLOps-Contiguous-Accuracy-Attainer

    Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.

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  • easonlai/ADB_AML_MLOps_Sample

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  • kaushikrohit004/MLOps-AWS-S3

    This repository demonstrates how to set up automated model training workflows triggered by AWS S3 using Kestra. When new customer interaction data is added to S3, the system retrains recommendation models to enhance personalization. Configuring environment variables with GitHub and AWS credentials.

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  • ml-starter-packs/microservice-workshop

    interactive coding environment for microservices demo

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  • coolmunzi/webapp_mlops

    This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.

    Language:Python1102
  • Hokfu/MLOps_Zoomcamp_Study

    This is the repository of my study in MLOps Zoomcamp from DataTalksClub.

    Language:Jupyter Notebook1101
  • JBris/machine-learning-r

    Some examples of running R in a Docker container with machine learning and MLOps features

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  • 0Upjh80d/mlops-project-template

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Language:HCL0000
  • 0Upjh80d/mlops-templates

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Language:JavaScript0000
  • 0Upjh80d/mlops-v2

    Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

    Language:Shell00
  • Biolytics-AI/k8s-ml-dev-env

    Want to develop ML using vscode remote dev on a powerful GPU cluster running k8s? Then this repo is for you!

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  • coretex-ai/coretex-vscode-extension

    Coretex extension for VS Code, facilitating easier dev workflow by automating MLOps directly in your favorite IDE.

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  • JorgeDSprojects/MLFLOW-Streamlit

    Small test to see how MLFLOW relates to experiment tracking with Streamlit

    Language:Python0101
  • kieran-ohara/vscode-gpus

    🦾 Accelerate ML Training and Experimentation in VSCode

    Language:HCL0100
  • ovokpus/MLOps-Learn

    Documents Participation in the MLOps ZoomCamp by Datatalks Club, showcasing various MLOps practices: Experiment Tracking, Orchestration, Deployment, Monitoring, and Best Practices.

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  • samthakur587/yolov7

    This project aims to train the YOLOv7 object detection model on a custom dataset comprising diverse aquarium images containing fish and aquatic creatures.

    Language:Jupyter Notebook0100
  • AjNavneet/Gaussian-TimeSeries-MLOps-AWS-Deployment

    Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.

    Language:Jupyter Notebook10