Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (8.5%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: AJKazakov
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 36.1 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Readme: PTF-A-MLP Version: 0.1.0 Module: PTF-A-MLP

Author: Adrian Kazakov (adrian.kazakov@inaf.it) Date: 2024-09-18

Modified: Adrian Kazakov Date: 2024-09-18

Description:

This software is able to train and test a deep neural network called a multilayer perceptron to predict/reconstruct the elemental surface composition below a simulated in-situ exospheric measurement.

It includes scripts written in Python, Bash shell, and gnuplot.

Requirements:

  1. Requires Python and other dependencies listed in ./requirements.txt
  2. Requires gnuplot

Built on:

Windows Subsystem for Linux on Windows 11

Tested on:

Windows Subsystem for Linux on Windows 11

Installation:

No installation needed.

Configuration:

No configuration needed.

Usage:

The two Python scripts for training and testing of the DNN MLP algorithm are invoked with arguments from the provided example Bash shell scripts.

To run the DNN MLP training program: 1. Place the inputs to the training (training and dev set) in the ./ptfamlp/inputs/ directory. 2. Change the inputs/outputs in the code of the script trainmvr.sh 3. Run the script: $ bash ./ptfamlp/trainmvr.sh

To run the DNN MLP testing/prediction program [with map reconstructions]: 1. Place the inputs to the testing (testing sets) in the ./ptfamlp/inputs/ directory. 2. Make sure that there is the training available in the ./ptfamlp/trainings/ directory. 3. Change the inputs/outputs in the code of the script testmvr.sh 4. Run the script: $ bash ./ptfamlp/testmvr.sh [or $ bash ./ptfamlp/testmvrand_reconstruct.sh]

Uninstallation and Cleaning:

No uninstallation needed.

Owner

  • Login: AJKazakov
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Kazakov
  given-names: Adrian
orcid: https://orcid.org/0000-0001-6403-0266
title: PTF-A-MLP
version: v0.1.0
doi: 10.5281/zenodo.13785015
date-released: 2024-09-18
url: "https://github.com/AJKazakov/PTF-A-MLP"

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Dependencies

requirements.txt pypi