jimlindstrom/MyDoom
Doom - reimplemented cleanly, in C++, without all the obscuring optimizations
This project is a Ruby gem ('hmm') for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using labeled training data) and Viterbi decoding. Unsupervised learning is on the way.
Public repository record indexed from GitHub. Explore verified star velocity metrics, source code repositories, and curated developer tool directories across the GitHubRepo ecosystem.
Doom - reimplemented cleanly, in C++, without all the obscuring optimizations
ENIAC simulator written in AngularJS
Ruby library for parsing, serializing, and manipulating GEXF graphs
Produces a pulse visualization (like an EKG) from iPhone sensor data