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https://github.com/numenta/nupic-legacy
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.
https://github.com/numenta/nupic-legacy
artificial-intelligence hierarchical-temporal-memory machine-intelligence neocortex
Last synced: about 1 month ago
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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.
- Host: GitHub
- URL: https://github.com/numenta/nupic-legacy
- Owner: numenta
- License: agpl-3.0
- Archived: true
- Created: 2013-04-05T23:14:27.000Z (about 11 years ago)
- Default Branch: master
- Last Pushed: 2023-09-01T15:42:16.000Z (9 months ago)
- Last Synced: 2024-04-14T15:09:11.184Z (about 2 months ago)
- Topics: artificial-intelligence, hierarchical-temporal-memory, machine-intelligence, neocortex
- Language: Python
- Homepage: http://numenta.org/
- Size: 146 MB
- Stars: 6,332
- Watchers: 625
- Forks: 1,564
- Open Issues: 464
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
Lists
- awesome-python - NuPIC - Numenta Platform for Intelligent Computing. (Machine Learning)
- awesome-stars - numenta/nupic-legacy
- awesome-stars - numenta/nupic-legacy - 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. (Python)
- awesome-stars - numenta/nupic-legacy - 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. (Python)
README
# 
NuPIC
As of September 2023 this repository contains code from legacy Hierarchical Temporal Memory (HTM) Numenta projects that have been in maintenance mode for several years.
## Numenta Platform for Intelligent Computing
The Numenta Platform for Intelligent Computing (**NuPIC**) is a machine intelligence platform that implements the [HTM learning algorithms](https://numenta.com/resources/papers-videos-and-more/). 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 more information, see [numenta.org](http://numenta.org) or the [NuPIC Forum](https://discourse.numenta.org/c/nupic).
For usage guides, quick starts, and API documentation, see .
## This project is in Maintenance Mode
We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to:
- Fixing critical bugs.
- Features needed to support ongoing research.
## Installing NuPIC
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.
- [Python 2.7](https://www.python.org/)
- [pip](https://pip.pypa.io/en/stable/installing/)>=8.1.2
- [setuptools](https://setuptools.readthedocs.io)>=25.2.0
- [wheel](http://pythonwheels.com)>=0.29.0
- [numpy](http://www.numpy.org/)
- C++ 11 compiler like [gcc](https://gcc.gnu.org/) (4.8+) or [clang](http://clang.llvm.org/)
Additional OS X requirements:
- [Xcode command line tools](https://developer.apple.com/library/ios/technotes/tn2339/_index.html)
### Install
Run the following to install NuPIC:
pip install nupic
### Test
# From the root of the repo:
py.test tests/unit
### _Having problems?_
- You may need to use the `--user` flag for the commands above to install in a non-system location (depends on your environment). Alternatively, you can execute the `pip` commands with `sudo` (not recommended).
- You may need to add the `--use-wheel` option if you have an older pip version (wheels are now the default binary package format for pip).
For any other installation issues, please see our [search our forums](https://discourse.numenta.org/search?q=tag%3Ainstallation%20category%3A10) (post questions there). You can report bugs at https://github.com/numenta/nupic/issues.
Live Community Chat: [](https://gitter.im/numenta/public?utm_source=badge)
### Installing NuPIC 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`](https://github.com/numenta/nupic.core) prior to installing nupic (since a PyPI release will be installed if `nupic.bindings` isn't yet installed).
- Build:
[](https://travis-ci.org/numenta/nupic)
[](https://ci.appveyor.com/project/numenta-ci/nupic/branch/master)
[](https://circleci.com/gh/numenta/nupic)
- To cite this codebase: [](https://zenodo.org/badge/latestdoi/19461/numenta/nupic)