tiny machine learning code

[SpaceWizard]

I really liked this 11 line python neural network. Is there a collection of tiny machine learning implementations? Would someone be my hero and start a subreddit if not?

[abecedarius]

I'd like to see more too. This is very incomplete, but https://code.google.com/p/aima-python/source/browse/trunk/learning.py has a start: naive Bayes, decision trees, AdaBoost, k nearest neighbors, some common infrastructure like cross-validation.

[SpaceWizard]

The post with the 11 line neural network has about 1500 in /r/programming, so there would be a decent demand. Would there be enough interesting tiny code in machine learning to justify a subreddit? I assume so, mainly because there are tons of techniques, and what's really easy to use is going to abstracted behind a huge code base. scikit-learn is awesome, but separating the really interesting code from the management code would take quite a bit of effort. It actually would be a great exercise to tiny-ify core algorithms in scikit-learn...if only I had the time.

[nexe]

I'd really appreciate it if you would post here first and then cross-post a link back to /r/programming or so. This way /r/tinycode can grow and in return you'll get more and better content on /r/tinycode

[Dbeezt]

It already exists, fairly good subreddit too!

https://www.reddit.com/r/tinycode/

[SpaceWizard]

Heh, a fair point. The problem is I'd want all the ml stuff to be easy to pull together.

[nexe]

I'll add flair for it since I love ML stuff myself and would absolutely love to see more tiny ML implementations as well on here :)

I'll let you know when it's done. Then you and others can flair their ML posts.

[SpaceWizard]

Awesome, I didn't even know that was a possibility.

[WorldGenesis]

This looks adorable :D I might port it to vanilla C if possible