HTM Implementers Meet N Greet - Yet Another HTM Implementation

[jacobeverist]

Here is my variant: BrainBlocks

This one was focused on practical ML applications, speed and efficiency, and less focused on faithfulness to neuroscience accuracy.

My previous posts:

Releasing BrainBlocks 0.6: Building ML Applications with HTM-Like Algorithms

We are pleased to announce the public release of our software to the HTM community. Feel free to explore the README and the example code. We will be following up with more detailed analysis, discussion, and documentation of the more interesting and impactful features in the coming weeks. Below is a snippet of the README. Introduction BrainBlocks is a framework for building applications using principles from the theory of Hierarchical Temporal Memory. BrainBlocks focuses on solving general…

Releasing BrainBlocks 0.7.1: Building ML Applications with HTM-Like Algorithms

BrainBlocks 0.7.1 is released. We have previously posted about Brainblocks on this discussion board. This release includes a number of changes reflecting the user feedback provided by people here. We also included more comprehensive example scripts to see how each of the provided block libraries can be used. BrainBlocks is also provided as a pip package across all major platforms. Simple way to start is to install with pip: pip install brainblocks The current computational blocks pro…