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neuralsens

https://github.com/jaipizgon/neuralsens

Science Score: 36.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 6 committers (16.7%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary

Keywords from Contributors

projection interactive serializer cycles packaging charts network-simulation shellcodes hacking autograding
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 16
  • Watchers: 4
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created about 7 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

NeuralSens

Jaime Pizarroso Gonzalo, jpizarroso@comillas.edu

Antonio Muñoz San Roque, Antonio.Munoz@iit.comillas.edu

José Portela González, jose.portela@iit.comillas.edu

  • R : CRAN status CRAN_Download_Badge
  • Python : pypi Downloads python os <!-- badges: end -->

This is the development repository for the neuralsens Python Badge package and the NeuralSens R Badge package. Functions within this package can be used for the analysis of neural network models created in R.

How to install

For Python, the last version of the neuralsens package can be installed using pip or conda:

bash $ pip install neuralsens $ conda install -c jaipizgon neuralsens

For R, the last version of the NeuralSens package can be installed from Github or CRAN: ```r

Github

install.packages('devtools') library(devtools) install_github('JaiPizGon/NeuralSens/R')

CRAN

install.packages('NeuralSens') ```

Citation

Please, to cite NeuralSens in publications use:

Pizarroso J, Portela J, Muñoz A (2022). “NeuralSens: Sensitivity Analysis of Neural Networks.” Journal of Statistical Software, 102(7), 1-36. doi: 10.18637/jss.v102.i07 (URL: https://doi.org/10.18637/jss.v102.i07).

License

This package is released in the public domain under the General Public License GPL.

Association

Package created in the Institute for Research in Technology (IIT), link to homepage

Owner

  • Login: JaiPizGon
  • Kind: user

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 201
  • Total Committers: 6
  • Avg Commits per committer: 33.5
  • Development Distribution Score (DDS): 0.403
Past Year
  • Commits: 9
  • Committers: 1
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jaime Pizarroso Gonzalo j****o@c****u 120
Jaime Pizarroso j****5@g****m 67
proyectista p****a@I****s 6
Jaime j****o@g****m 4
dependabot[bot] 4****] 3
Jaime j****o@s****s 1
Committer Domains (Top 20 + Academic)
sending.es: 1 iit-pfc1-pl3.upcont.es: 1 comillas.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 3
  • Total pull requests: 31
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 3 months
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.06
  • Merged pull requests: 29
  • Bot issues: 0
  • Bot pull requests: 30
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 18 days
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • LaxminarayanSid (1)
  • aradhyamathur (1)
  • ChrisC-11 (1)
Pull Request Authors
  • dependabot[bot] (37)
  • JaiPizGon (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (37)

Packages

  • Total packages: 2
  • Total downloads:
    • cran 433 last-month
    • pypi 23 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 132
  • Total maintainers: 2
pypi.org: neuralsens

The neuralsens package facilitates sensitivity analysis on neural network models, quantifying input importance. It provides functions for calculating and plotting input significance, and obtaining neuron layer activation functions and derivatives. Compatible with models created in R and Python, it's a robust toolkit for understanding input contributions in neural networks.

  • Versions: 111
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 23 Last month
Rankings
Downloads: 6.4%
Dependent packages count: 10.0%
Average: 14.9%
Stargazers count: 17.1%
Forks count: 19.1%
Dependent repos count: 21.8%
Maintainers (1)
JaiPizGon
Last synced: 11 months ago
cran.r-project.org: NeuralSens

Sensitivity Analysis of Neural Networks

  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 433 Last month
Rankings
Stargazers count: 17.0%
Forks count: 21.9%
Downloads: 22.2%
Average: 25.3%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Maintainers (1)
jpizarroso@comillas.edu
Last synced: 10 months ago

Dependencies

R/DESCRIPTION cran
  • Hmisc * imports
  • NeuralNetTools * imports
  • caret * imports
  • fastDummies * imports
  • ggforce * imports
  • ggnewscale * imports
  • ggplot2 * imports
  • gridExtra * imports
  • magrittr * imports
  • reshape2 * imports
  • scales * imports
  • stringr * imports
  • RSNNS * suggests
  • e1071 * suggests
  • h2o * suggests
  • neuralnet * suggests
  • nnet * suggests
  • plotly * suggests
python/poetry.lock pypi
  • appnope 0.1.3 develop
  • argon2-cffi 21.3.0 develop
  • argon2-cffi-bindings 21.2.0 develop
  • asttokens 2.0.5 develop
  • atomicwrites 1.4.0 develop
  • attrs 21.4.0 develop
  • backcall 0.2.0 develop
  • bleach 5.0.0 develop
  • cffi 1.15.0 develop
  • colorama 0.4.5 develop
  • coverage 6.4.3 develop
  • debugpy 1.6.0 develop
  • decorator 5.1.1 develop
  • defusedxml 0.7.1 develop
  • entrypoints 0.4 develop
  • executing 0.8.3 develop
  • fastjsonschema 2.15.3 develop
  • importlib-resources 5.8.0 develop
  • iniconfig 1.1.1 develop
  • ipykernel 6.15.0 develop
  • ipython 8.4.0 develop
  • ipython-genutils 0.2.0 develop
  • ipywidgets 7.7.1 develop
  • jedi 0.18.1 develop
  • jinja2 3.1.2 develop
  • jsonschema 4.6.0 develop
  • jupyter 1.0.0 develop
  • jupyter-client 7.3.4 develop
  • jupyter-console 6.4.4 develop
  • jupyter-core 4.10.0 develop
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  • jupyterlab-widgets 1.1.1 develop
  • markupsafe 2.1.1 develop
  • matplotlib-inline 0.1.3 develop
  • mistune 0.8.4 develop
  • mypy 0.961 develop
  • mypy-extensions 0.4.3 develop
  • nbclient 0.5.13 develop
  • nbconvert 6.3.0 develop
  • nbformat 5.4.0 develop
  • nest-asyncio 1.5.5 develop
  • notebook 6.4.12 develop
  • pandocfilters 1.5.0 develop
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  • pexpect 4.8.0 develop
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  • prometheus-client 0.14.1 develop
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  • psutil 5.9.1 develop
  • ptyprocess 0.7.0 develop
  • pure-eval 0.2.2 develop
  • py 1.11.0 develop
  • pycparser 2.21 develop
  • pygments 2.12.0 develop
  • pyrsistent 0.18.1 develop
  • pytest 7.1.2 develop
  • pytest-cov 3.0.0 develop
  • pywin32 304 develop
  • pywinpty 2.0.5 develop
  • pyzmq 23.2.0 develop
  • qtconsole 5.3.1 develop
  • qtpy 2.1.0 develop
  • send2trash 1.8.0 develop
  • stack-data 0.3.0 develop
  • terminado 0.15.0 develop
  • testpath 0.6.0 develop
  • tornado 6.1 develop
  • traitlets 5.3.0 develop
  • typing-extensions 4.2.0 develop
  • wcwidth 0.2.5 develop
  • webencodings 0.5.1 develop
  • widgetsnbextension 3.6.1 develop
  • zipp 3.8.0 develop
  • cycler 0.11.0
  • fonttools 4.33.3
  • kiwisolver 1.4.3
  • matplotlib 3.5.2
  • numpy 1.22.4
  • packaging 21.3
  • pandas 1.4.2
  • pillow 9.1.1
  • pyparsing 3.0.9
  • python-dateutil 2.8.2
  • pytz 2022.1
  • scipy 1.8.1
  • setuptools-scm 6.4.2
  • six 1.16.0
  • tomli 2.0.1
python/pyproject.toml pypi
  • jupyter ^1.0.0 develop
  • mypy ^0.961 develop
  • pytest ^7.1.2 develop
  • pytest-cov ^3.0.0 develop
  • matplotlib ^3.5.2
  • numpy ^1.22.4
  • pandas ^1.4.2
  • python >=3.8,<3.11
  • scipy ^1.8.1
python/requirements_dev.txt pypi
  • Sphinx ==1.8.5 development
  • black ==21.7b0 development
  • bump2version ==0.5.11 development
  • coverage ==4.5.4 development
  • flake8 ==3.7.8 development
  • pip ==21.1 development
  • pytest ==6.2.4 development
  • tox ==3.14.0 development
  • twine ==1.14.0 development
  • watchdog ==0.9.0 development
  • wheel ==0.33.6 development