From Fedora Project Wiki
The Machine Learning SIG is inactive and the information on this page is mostly out of date. The AI/ML SIG has replaced this SIG and will be the better reference going forward.

Machine Learning SIG

The Machine Learning SIG's goal is to make Fedora the best platform for all things related to Machine Learning. We aim to act a hub in the gap between the Astronomy, Bigdata, Fedora Medical and Science and Technology SIGs and also between all interesting projects related to machine learning in Fedora.


Björn Esser (besser82) <>

Kushal Khandelwal (kushal124) <>

Christian Dersch (lupinix) <>

Dhanesh B. Sabane (dhanesh95) <>

Lumír Balhar (lbalhar) <>

Christiano Anderson (canderson9) <>

David Kirwan (dkirwan) <>

Graham Williamson (willo) <>

Tom Rix (trix) <>

Benson Muite (fed500) <>

Machine Learning Projects


Thoth is a promising project which uses artificial intelligence to analyze and recommend software stack for artificial intelligence applications. It's based on an assumption that the proper combination of tools and libraries can have a significant impact on the performance of your project.

Thoth is now in the alpha state but it should be soon ready for beta testers.

Github organization:

Optimized TensorFlow builds

The Artificial Intelligence Center of Excellence (AICoE) provides a simple Python package index with builds of Tensorflow optimized for Fedora/Centos/RHEL.


ML-Pack is a lightweight C++ machine learning library that has Python and Julia bindings. It is available in Fedora repositories.


Shogun is a machine learning toolbox with interfaces to a number of other languages including Python, Ruby and R.


Dlib is an open source C++ machine learning library that can also be called from Python.


FANN(Fast Artificial Neural Network Library) is an open source C++ machine learning library with a wide variety of language bindings. It is available in Fedora repositories.


h2o is an open source Java machine learning library with Python and R bindings.

Machine Learning Packages

New packages

When submitting a new ml-related package for review, please add "Blocks: ML-SIG" to your review-request. After the review has been granted don't forget to remove it, when filing the SCM-request, please.

When you are filing your SCM-admin-request, you should make sure to request InitialCC for "ml-sig".


New Package SCM Request
Package Name: pkgname
Short Description: summary of package
Owners: foo bar
Branches: f18 f19 f20 el5 el6
InitialCC: ml-sig

Packages waiting for your review

You can find them on the ML-SIG review-tracker.

We would be glad if you would take one or a few.  :)

Existing packages

We have a new FAS group machine-learning-sig! Do you need any help maintaining your package? Let us know on the mailing list and give the group permissions for your package.

What are we going to do?

  • We're gonna update this wiki page so it can serve as a hub of interesting projects, links to important content, RPM packages etc. Do you know about anything we should have here? Let us know!
  • We'll help ML developers as much as we can. Do you need some help or some new RPM package in Fedora? Let us know!
  • We'll try to make Fedora the best distribution for AI/ML developers and users. Do you know how? Let us know!


There is no formal process for participating; joining the mailing list, hanging out on IRC, or participating in meetings are all fantastic ways to get involved.

A little self-introduction on the mailing list would be nice, too. And, if you want to, add yourself to our members-section above.

Mailing list


We will likely hang out on at #fedora-ml. German members may want to come into #fedora-ml-de, too.

Haven't used IRC for communication before? More information on how to use IRC is available here.


We also have a Telegram group since Flock 2019. You can find it at

There is also a bridge between the Telegram group and the IRC channel so you can use only one platform to stay in touch.


We shall have them, and see how it goes.

more to come soon.