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:
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)
| File | Size | Uploaded | |
|---|---|---|---|
| ngcsimlib-3.1.1.tar.gz | 32.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
|