MLHub

How do we empower each other with today’s Machine Learning and Artificial Intelligence technology and so allow many to share in the technology and to innovate from what others have shared, simply?

The machine learning hub is an experimental contribution to this empowerment. We are linking github repositories into a collection of quickly accessible and ready to run, explore, rebuild, and even deploy, pre-built machine learning models and data science technology.  The models and technology are accessed and managed using the ml command from the mlhub package available for quick installation from pypi. A growing list of machine learning models and data science technology are becoming available.

Getting started is simple. Install the command line tool to explore the rain, colorize, objects, and facedetect machine learning models, to start with. Have a look also at the data science visualisation packages, including animate and beeswarm. But why not explore each one of them! There may be examples there that really interest you or could support your current projects.


MLHub works best on Ubuntu, ideally on your own laptop. It is also accessible from Windows 10 through the Hyper-V gallery, or on a virtual machine on a Mac. It also runs well on an Azure Ubuntu server in the cloud.


Please feel free to contribute models or suggestions to mailto:mlhub@togaware.com. It is easy to contribute your own model simply by creating a configuration for it called MLHUB.yaml and a demo.py or demo.R file on your github repository. Then simply point the ml command to that repository!



Thank you for your interest.