ddigiorg/simple-cortex
A simple unsupervised on-line learning architecture
This project helps systems observe, learn from, and predict complex patterns in data that changes over time, much like the mammalian brain. It takes in streams of sensory-motor data and continuously builds an understanding of sequences and relationships. The output is predictions about future data states. This is ideal for engineers, researchers, or product developers building intelligent systems that need to adapt and learn from dynamic, unlabeled real-world data.
No commits in the last 6 months.
Use this if you need an adaptive system that can learn continuously from new observations without requiring pre-labeled training data.
Not ideal if your problem requires static, pre-defined pattern matching or if you need to explain the reasoning behind specific predictions rather than just generating them.
Stars
15
Forks
5
Language
C++
License
—
Category
Last pushed
Oct 15, 2017
Commits (30d)
0
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