Skip to main content

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 22.04.3/5 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:
3.1.0

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

Copyright (C) 2021 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

Metadata

Release files for ngcsimlib 3.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ngcsimlib 3.1.1
File Size Uploaded
ngcsimlib-3.1.1.tar.gz 32.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ngcsimlib 3.1.1
File Interpreter ABI Platform
ngcsimlib-3.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 74.9 kB

Release files / ngcsimlib-3.1.1.tar.gz

Download URL ngcsimlib-3.1.1.tar.gz
Size 32.2 kB
Tags Source
SHA-256 checksum
How to use checksums
c5e004ae9799ae07895db4a2793d493015281e28f79b723e951b7cdba6dff21f
BLAKE2b-256 checksum
How to use checksums
9501c8e0715b25e5eecb9a63b69486a6d7b75e616f9bbb37026611de68df96c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.12

Release files / ngcsimlib-3.1.1-py3-none-any.whl

Download URL ngcsimlib-3.1.1-py3-none-any.whl
Size 42.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b95cf83726c77c989d82480288fe0ebf05093d41c0e4e2e31121997bc097ea2d
BLAKE2b-256 checksum
How to use checksums
c6e0a315e129b642e2641c6b564f8bfbc9dc5fadb8914f6ad715af6ad9b3891a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.12
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page