Skip to main content

Simulation software backend for ngc-learn.

Project description

Python VersionLicenseMaintenance DOI

NGC-Sim-Lib: Support Library for NGC-Learn

ngc-sim-lib is the support library backend and central dependency for ngc-learn, a library designed for computational neuroscience and cognitive neuroscience research. While ngc-learn contains the JAX-implemented routines and any supporting C code, ngc-sim-lib is a pure Python package, primarily meant for providing the machinery, routines, and utilities that facilitate the general (abstract) simulation of complex adaptive systems made up of dynamical components. For information, including anything related to usage instructions and details, please refer to the ngc-learn README: https://github.com/NACLab/ngc-learn/.

This package is distributed under the 3-Clause BSD license. It is currently maintained by the Neural Adaptive Computing (NAC) laboratory.

Installation:

Setup: Ensure that you have installed the following base dependencies in your system. Note that this library was developed and tested on Ubuntu 22.04.3 LTS. ngc-sim-lib requires: Python (>=3.10).

Once you have ensured that the appropriate Python is installed, you can then have the ngcsimlib package installed on your system using either the official pip install:

$ pip install ngcsimlib 

or, if you download this repo and use pip locally, you can run the following:

$ pip install .

Alternatively, if you are doing development, then do an editable install via:

$ pip install --editable . # OR pip install -e .

Version:
0.2.0

Authors: William Gebhardt, Alexander G. Ororbia II
Neural Adaptive Computing (NAC) Laboratory
Rochester Institute of Technology, Department of Computer Science

Copyright:

Copyright (C) 2023 The Neural Adaptive Computing Laboratory - All Rights Reserved
You may use, distribute and modify this code under the terms of the BSD 3-clause license.

You should have received a copy of the BSD 3-clause license with this software.
If not, please email us

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ngcsimlib-0.3b1.tar.gz (34.7 kB view details)

Uploaded Source

Built Distribution

ngcsimlib-0.3b1-py3-none-any.whl (48.5 kB view details)

Uploaded Python 3

File details

Details for the file ngcsimlib-0.3b1.tar.gz.

File metadata

  • Download URL: ngcsimlib-0.3b1.tar.gz
  • Upload date:
  • Size: 34.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for ngcsimlib-0.3b1.tar.gz
Algorithm Hash digest
SHA256 c802eeafe4d45451528eb62f6af96c752059cf10b3390dbdae98946a051b07b4
MD5 b35033568c212e0b32432ce7c1109039
BLAKE2b-256 790c6c9cf7ab625989fa4ffb7b6e8998f555077094d6603c7bec221d0760aeb3

See more details on using hashes here.

File details

Details for the file ngcsimlib-0.3b1-py3-none-any.whl.

File metadata

  • Download URL: ngcsimlib-0.3b1-py3-none-any.whl
  • Upload date:
  • Size: 48.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for ngcsimlib-0.3b1-py3-none-any.whl
Algorithm Hash digest
SHA256 6f2a959ed60cb1e90be8e2ca4099d1936f983c778b1bdd582112d1731a17d087
MD5 510196d5ea9477c2b5f97e29dc3af201
BLAKE2b-256 bd46504477d46b4e80d3bb2dc2607fb737e900a36f11245b917e6f065941b80f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page