ML model deployment pipeline from local testing to cloud using Docker
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Updated
Sep 18, 2025 - Python
ML model deployment pipeline from local testing to cloud using Docker
A construction and deployment of an application that proceed segmentation of images
A lightweight tool for building, deploying, backing-up and moving server environments based on Docker Compose and Docker Machine
Github Actions deployment sever for Datavid.
A Financial Portfolio App in Django
A lightweight remote command executor
📦Deploy on AWS S3 whenever repository is pushed: CodePipeline
Deploy Django on a VPS using dPanel
Upload files Arduino sketched to a remote server or directly to an OTA capable device via WiFi.
Project Deployment System
GitHub Action to create user level ssh key on Packet.com
DataForge — An intelligent AutoML system that automates dataset cleaning, model training, testing, and evaluation with real-time performance metrics and export-ready results.
ship - ships your code to next level a python updater for your application
GitHub Action to create a project on Packet.com
Estuary Deployer service orchestrates your deployments over Docker or Kubernetes via pure REST API. Part of the Estuary stack.
To take care kubectl command
Automagically deploy your repositories when a new commit gets pushed.
Add a description, image, and links to the deployment-automation topic page so that developers can more easily learn about it.
To associate your repository with the deployment-automation topic, visit your repo's landing page and select "manage topics."