htm.core VS RubixML

OK I am still parsing the pre-print, but their approach seems very interesting. And equally interesting would be to see what happens if you apply HTM [1] to the same inputs model, _e.g._:

> We next applied our paradigm to a morphologically and electrically complex detailed biophysical compartmental model of a 3D reconstructed layer 5 cortical pyramidal cell (L5PC) from rat somatosensory cortex (Fig. 2A). The model is equipped with complex nonlinear membrane properties, a somatic spike generation mechanism and an excitable apical nexus capable of generating calcium spikes

[1] https://github.com/htm-community/htm.core

RubixML: PHP machine learning package

Some weird but brilliant guy is doing like a port of scikit-learn but in PHP named RubixML, and it worked well!

One prominent Machine Learning project is RubixML. It's got tools for supervised and unsupervised learning, and it's used in a variety of domains. It's open source and free to use. Some use-cases for RubixML are: Image classification, text sentiment analysis, and image segmentation. If you are planning on doing Google's crash course in Machine Learning, perhaps an Iris Flower Classifier would be a good example to take a look at.

You know that inline C in PHP is a thing now? Also there is a big big lib for ML stuff https://rubixml.com/

Rubix ML

The egg headedness and being "hipp" in python shows for example with github stars imho. We do have rubix ml https://github.com/RubixML/ML for php, which is absolutely awesome! But only 1k stars.... and some library for python, that gets you "disappointing results" according to the creator, gets him almost 30k stars. Notice that is half of what laravel has. Something is over hyped in python?

PHP 8 is fairly new. In the future it may be used more because of this. Now the only actively maintained project that I know is https://github.com/RubixML/RubixML