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Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

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nupic.py (NuPIC Community Fork)

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This is a community fork of the The Numenta Platform for Intelligent Computing (NuPIC), a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For questions or discussion, see our forum.

Installing nupic.py

NuPIC binaries are available for:

  • Linux x86 64bit
  • OS X 10.9
  • OS X 10.10
  • Windows 64bit

Dependencies

The following dependencies are required to install NuPIC on all operating systems.

Additional OS X requirements:

Install

TODO

Test

# From the root of the repo:
py.test tests/unit

Installing nupic.py From Source

To install from local source code, run from the repository root:

pip install .

Use the optional -e argument for a developer install.

If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed).

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Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

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