leabra-psyneulink

v0.3.2

Python implementation of the Leabra algorithm. Forked to package and upload to PyPi. For more information about how to use this package see README

Latest version published 4 years ago

License: GPL-3.0

PyPI

GitHub

Package Health Score

40 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Limited

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Popularity

Small

GitHub Stars: 0
Forks: 1
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package leabra-psyneulink, we found that it has been starred ? times.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 1, 2020
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 1
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

GPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 1
Last Release: 4 years ago
Last Commit: 4 years ago

Further analysis of the maintenance status of leabra-psyneulink based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for leabra-psyneulink is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 4
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: ==3.4.*, ==3.5.*, ==3.6.*

Age: 4 years
Latest Release: 4 years ago
Dependencies: 5 Direct / 98 Total
Versions: 2
Maintainers: 1
Wheels: OS Independent

Readme

Explanation of Fork

This is a fork of Leabra, to be uploaded for distribution on PyPi. The package is completely unchanged from the original with the exception of the following modifications:

The name of the package was changed, so that the original authors may use the original name if they decide to upload to PyPi at some point.
This section was added to the readme.
Several trivial modifications were made to setup.py for compatibility with PyPi.
The version number was incremented to account for the above listed changes.

Leabra

This repository holds a Python implementation of the Leabra (Local, Error-driven and Associative, Biologically Realistic Algorithm) framework. The reference implementation for Leabra is in emergent developped by the Computational Cognitive Neuroscience Laboratory at the University of Colorado Boulder. This Python implementation targets emergent 8.1.0, and only implements the rate-coded mode —which includes some spiking behavior, but is different from the discrete spiking mode (which is not implemented).

This work is the fruit of the collaboration of the Computational Cognitive Neuroscience Laboratory at the University of Colorado Boulder and the Mnemosyne Project-Team at Inria Bordeaux, France.

Status & Roadmap

This is a work in progress. Most of the basic algorithms of Leabra are implemented, but some mechanisms are still missing. While the current implementation passes several quantitative tests of equivalence with the emergent implementation (8.1.1, r11060), the number and diversity of tests is too low to guarantee that the implementation is correct yet.

[x] Unit, Layer, Connection, Network class
[x] XCAL learning rule
[x] Basic notebook examples
[x] Quantitative equivalence with emergent
[x] Neuron tutorial notebook
[ ] Inhibition tutorial notebook
[ ] Weight balance mechanism

Installation & Usage

Install dependencies:

pip install -r requirements.txt

Then, launch Jupyter to see usage examples:

jupyter notebook index.ipynb

Run Notebooks Online

Notebooks can be run online without installation with the Binder service. The service is still experimental, and may be down or unstable.

Useful Resources

License

To be decided.

leabra-psyneulink dependencies

bokeh ipywidgets jupyter numpy scipy

FAQs

What is leabra-psyneulink?

Python implementation of the Leabra algorithm. Forked to package and upload to PyPi. Visit Snyk Advisor to see a full health score report for leabra-psyneulink, including popularity, security, maintenance & community analysis.

Is leabra-psyneulink popular?

The python package leabra-psyneulink receives a total of 2,702 weekly downloads. As such, leabra-psyneulink popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is leabra-psyneulink well maintained?

We found indications that leabra-psyneulink is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is leabra-psyneulink safe to use?

While scanning the latest version of leabra-psyneulink, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 13 November-2024, at 04:10 (UTC).

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Readme

Explanation of Fork

Leabra

Status & Roadmap

Installation & Usage

Run Notebooks Online

Useful Resources

License

leabra-psyneulink dependencies

FAQs

What is leabra-psyneulink?

Is leabra-psyneulink popular?

Is leabra-psyneulink well maintained?

Is leabra-psyneulink safe to use?

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Source Code

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