Made-With-ML Apps & Release Installers

GitHub

Learn how to develop, deploy and iterate on production-grade ML applications.

47,534 stars Jupyter Notebook 1 file · ~5,282 tokens #data-engineering#data-quality#data-science#deep-learning#distributed-ml#distributed-training#llms#machine-learning
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No Standalone Desktop App (.exe / .dmg) Detected

GokuMohandas/Made-With-ML is engineered as a server, cloud service, or developer package. It is primarily deployed via Docker containers or package managers rather than a single desktop executable.

Deploy with Docker
Copy intact docker-compose.yml and launch with 1-click Docker run.
Full Documentation
Explore setup instructions, configuration flags, and API specs.
Browse Desktop Apps
Discover verified standalone software and installable tools.
Quick Terminal & Package Manager Commands
brew install Made-With-ML
docker run -d --name Made-With-ML --restart always GokuMohandas/Made-With-ML:latest