HTM School
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Welcome to NuPIC
Open Source Platform and Community for Machine Intelligence based on HTM Theory
NuPIC is an open source project based on a theory of neocortex called Hierarchical Temporal Memory (HTM). Parts of HTM theory have been implemented, tested, and used in applications, and other parts of HTM theory are still being developed. Today the HTM code in NuPIC can be used to analyze streaming data. It learns the time-based patterns in data, predicts future values, and detects anomalies. NuPIC includes discussion groups on HTM theory, research on extending HTM, and source code for complete applications based on HTM. We welcome participation in all of these areas.
Features
Start
Download, install, and run NuPIC for the first time
Please consider that NuPIC is based on principles that are unfamiliar to most people, including Hierarchical Temporal Memory (HTM), Sparse Distributed Representations (SDRs), online learning, and distributed memory. There is a steeper-than-normal learning curve.
Download
Get older versions in Downloads.
View project README on GitHub.
See the documentation below for help building from source. Other language ports are available.
Quickstart
$ pip install nupic
$ python
>>> import nupic, sys
>>> print 'nupic' in sys.modules
True
>>> # Success!Next, learn the basics by exploring the documentation, or try running some tutorials.
Dependencies
- C++ and Python 2.7 with dev headers
- pip package manager
- wheel package format
- numpy module
Docs
Learn how to use NuPIC by reading our documentation below
From beginner instructions to advanced expert API reference, we hope to help you build intelligent applications.
Introduction
- Intro to NuPIC - OSCON 2013 Talk
- NuPIC Wiki
Advanced
- API References: nupic | nupic.core | htm.java
- HTM Theory - Hierarchical Temporal Memory
- Contributing to NuPIC
- FAQ and Help
Theory
NuPIC is an Hierarchical Temporal Memory (HTM)
HTM is a set of algorithms which model the functionality of the neocortex in the human brain. HTM Theory is the key to unlocking Intelligent Applications and Machines.
Neuroscience and Computing
- Principles of Hierarchical Temporal Memory (HTM) - Foundations of Machine Intelligence
- Applications of HTM
- Getting Started with Numenta Technology
- HTM Theory - Wiki Section
- HTM Whitepaper - PDF Download
- On Intelligence - Book
Learn More
- What the Brain Says about Machine Intelligence
- Science of Anomaly Detection
- Sparse Distributed Representations - Our Brain’s Data Structure
- Properties of SDRs and their Application to HTM
- HTM Learning Algorithms Tutorial - Algorithm Basics
- NuPIC Theory Mailing List
Community
Working together towards a new era of Machine Intelligence
We want to share Machine Intelligence with everyone, and support research and further development of these algorithms. There are many directions the algorithms within NuPIC could take, and we encourage you to get involved. Please read below to find out how you can interact with our development team and existing community members to push this technology into the future.
Communicate
- Mailing Lists
- Chat Live
- Gitter
- IRC @
irc.freenode.net#nupic
- File a Bug
About
- NuPIC Community - Meet the Team
- Committers and Contributors lists
- Code of Conduct
- NuPIC Wiki
Contribute
- NuPIC Hackers mailing list (web archive)
- Contribution Guidelines
- Development Roadmap
- Issue Trackers
- Community Content from our team
- Licenses
- Continuous Integration using Bamboo (pipeline development in progress)
Latest
Stay up-to-date with the latest on our project and community
Read our Blog, browse recent News, learn about our Events, and see mentions of NuPIC in the Media and on the web.
HTM School
Upcoming Events
There are 3 upcoming events this Spring. You can find out more about them on our events page, but here is a short summary:
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Bay Area HTM Meetup
This community-organized Meetup will be at Trustly on March 14 from 6:30-10PM. It’s a great chance to meet with the HTM community and catch up with what’s been going on with NuPIC development and projects.
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