pypofacets

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 38)

A Python implementation of the Radar Cross-Section simulation, based on POFacets.

pypofacets 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

PyPOFacets
==========

The PyPOFacets project provides four Python implementations of the Radar Cross Section simulation. Our implementations are Python translations of the original MATLAB [POFacets](https://www.mathworks.com/matlabcentral/fileexchange/35861-pofacets4-1) implementation.

Monolithic implementation
-------------------------

* [Script](https://github.com/gems-uff/pypofacets/blob/master/monolithic_pypofacets.py)
* [Provenance graph](https://github.com/gems-uff/pypofacets/blob/master/output/provenance/monolithic.pdf) generated by [noWorkflow](http://gems-uff.github.io/noworkflow/)

Monolithic implementation instrumented with YesWorkflow
-------------------------------------------------------

* [Script](https://github.com/gems-uff/pypofacets/blob/master/yw_monolithic_pypofacets.py)
* [Provenance graph](https://github.com/gems-uff/pypofacets/blob/master/output/provenance/yw.pdf) generated by [YesWorkflow](https://github.com/yesworkflow-org/yw-prototypes/wiki)

Modular implementation by a human expert
----------------------

* [Script](https://github.com/gems-uff/pypofacets/blob/master/modular_expert_pypofacets.py)
* [Provenance graph](https://github.com/gems-uff/pypofacets/blob/master/output/provenance/modular_expert.pdf) generated by [noWorkflow](http://gems-uff.github.io/noworkflow/)

Modular implementation by a Large Language Model (Gemini)
----------------------

* [Script](https://github.com/gems-uff/pypofacets/blob/master/modular_llm_pypofacets.py)
* [Provenance graph](https://github.com/gems-uff/pypofacets/blob/master/output/provenance/modular_llm.pdf) generated by [noWorkflow](http://gems-uff.github.io/noworkflow/)

Reproducibility instructions
----------------------

Reproducibility instructions are available on the [PyPOFacets project wiki page](https://github.com/gems-uff/pypofacets/wiki).

Included Software
-----------------

Parts of the following software were used by PyPoFacets directly or in an adapted form:

License
-------

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

pypofacets

pypofacets 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

pypofacets

pypofacets 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README