Data

Tools

Indexes

Applications

Experiments

Open Source Science

visual-search-nets

neural network models of visual search behavior

https://github.com/nickledave/visual-search-nets

Science Score: 41.0%

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
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

neural network models of visual search behavior

Basic Info
  • Host: GitHub
  • Owner: NickleDave
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 237 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 2
  • Open Issues: 14
  • Releases: 7
Created over 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

DOI PyPI version

visual-search-nets

neural networks models performing visual search tasks

Code for paper with experiments that use this library: https://github.com/NickleDave/Nicholson-Prinz-2021

Proceedings paper from 2019 Conference on Cognitive Computational Neuroscience that used previous versions of this library.

Tool that can be used to generate visual search stimuli to then carry out experiments with this library: https://github.com/NickleDave/searchstims

Installation

The following commands were used to create the environment:

console tu@computi:~$ conda create -n searchnets python=3.6 numpy matplotlib imageio joblib tensorflow-gpu tu@computi:~$ source activate searchnets tu@computi:~$ git clone https://github.com/NickleDave/visual-search-nets.git tu@computi:~$ cd ./visual-search-nets tu@computi:~$ pip install .

usage

Installing this package (by running pip install . in the source directory) makes it possible to run experiments from the command line with the searchnets command, like so: console tu@computi:~$ searchnets train config.ini
The command-line interface accepts arguments with the syntax searchnets command config.ini,
where command is some command to run, and config.ini is the name of a configuration file with options that specify how the command will be executed.
For details on the commands, see this page in the docs. For details on the config.ini files, please see this other page.

Acknowledgements

  • Research funded by the Lifelong Learning Machines program, DARPA/Microsystems Technology Office, DARPA cooperative agreement HR0011-18-2-0019
  • David Nicholson was partially supported by the 2017 William K. and Katherine W. Estes Fund to F. Pestilli, R. Goldstone and L. Smith, Indiana University Bloomington.

Citation

Please cite the DOI for this code: DOI

Owner

  • Name: David Nicholson
  • Login: NickleDave
  • Kind: user
  • Location: Charm City
  • Company: @vocalpy

ML, AI; behavior + cog + neuro. Open + inclusive science. Pythonista. He/him (they's ok too). Habla espanglish y baila salsa y bachata a medio tiempo.

Citation (CITATION.txt) 

If you use this software for any published work, please cite it using the reference
below:

@Misc{,
  author = {David Nicholson},
  doi = {10.5281/zenodo.3171396}
  title = {visual-search-nets},
  year = {2019},
  url = "https://github.com/NickleDave/visual-search-nets"
}

GitHub Events

Total
Last Year

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 960
  • Total Committers: 3
  • Avg Commits per committer: 320.0
  • Development Distribution Score (DDS): 0.295
Top Committers
Name Email Commits
NickleDave n****e@u****m 677
David Nicholson N****e@u****m 176
David Nicholson n****v@g****m 107

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 60
  • Total pull requests: 34
  • Average time to close issues: 5 months
  • Average time to close pull requests: 1 minute
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 0.7
  • Average comments per pull request: 0.06
  • Merged pull requests: 32
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 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
  • NickleDave (60)
Pull Request Authors
  • NickleDave (32)
  • dependabot[bot] (2)
  • TrellixVulnTeam (1)
Top Labels
Issue Labels
experiment (7) bug (3) ENH: enhancement (3) wontfix (2) DEV: development (1)
Pull Request Labels
dependencies (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 20 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 6
  • Total maintainers: 1
pypi.org: visual-search-nets

neural network models of visual search behavior

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 20 Last month
Rankings
Dependent packages count: 10.0%
Forks count: 19.1%
Stargazers count: 20.3%
Average: 20.6%
Dependent repos count: 21.7%
Downloads: 32.0%
Maintainers (1)
nicholdav
Last synced: 11 months ago

Dependencies

poetry.lock pypi
  • appnope 0.1.2 develop
  • atomicwrites 1.4.0 develop
  • backcall 0.2.0 develop
  • colorama 0.4.4 develop
  • decorator 5.0.9 develop
  • iniconfig 1.1.1 develop
  • ipython 7.25.0 develop
  • ipython-genutils 0.2.0 develop
  • jedi 0.18.0 develop
  • matplotlib-inline 0.1.2 develop
  • packaging 21.0 develop
  • parso 0.8.2 develop
  • pexpect 4.8.0 develop
  • pickleshare 0.7.5 develop
  • pluggy 0.13.1 develop
  • prompt-toolkit 3.0.19 develop
  • ptyprocess 0.7.0 develop
  • py 1.10.0 develop
  • pygments 2.9.0 develop
  • pytest 6.2.4 develop
  • toml 0.10.2 develop
  • traitlets 5.0.5 develop
  • wcwidth 0.2.5 develop
  • absl-py 0.13.0
  • attrs 21.2.0
  • cachetools 4.2.2
  • certifi 2021.5.30
  • chardet 4.0.0
  • cycler 0.10.0
  • google-auth 1.32.1
  • google-auth-oauthlib 0.4.4
  • grpcio 1.38.1
  • idna 2.10
  • imageio 2.9.0
  • importlib-metadata 4.6.1
  • joblib 1.0.1
  • kiwisolver 1.3.1
  • markdown 3.3.4
  • matplotlib 3.4.2
  • numpy 1.21.0
  • oauthlib 3.1.1
  • pandas 1.3.0
  • pillow 8.3.0
  • protobuf 3.17.3
  • pyasn1 0.4.8
  • pyasn1-modules 0.2.8
  • pygame 2.0.1
  • pyparsing 2.4.7
  • pyprojroot 0.2.0
  • python-dateutil 2.8.1
  • pytz 2021.1
  • requests 2.25.1
  • requests-oauthlib 1.3.0
  • rsa 4.7.2
  • scikit-learn 0.24.2
  • scipy 1.7.0
  • seaborn 0.11.1
  • searchstims 2.4.0
  • six 1.16.0
  • tensorboard 2.5.0
  • tensorboard-data-server 0.6.1
  • tensorboard-plugin-wit 1.8.0
  • threadpoolctl 2.1.0
  • torch 1.8.1
  • torchvision 0.9.1
  • tqdm 4.61.1
  • typing-extensions 3.10.0.0
  • urllib3 1.26.6
  • werkzeug 2.0.1
  • zipp 3.5.0
pyproject.toml pypi
  • ipython ^7.25.0 develop
  • pytest ^6.2.4 develop
  • attrs ^21.2.0
  • imageio ^2.9.0
  • joblib ^1.0.1
  • matplotlib ^3.4.2
  • numpy ^1.21.0
  • pandas ^1.3.0
  • pyprojroot ^0.2.0
  • python >3.7.1, <3.10
  • scikit-learn ^0.24.2
  • scipy ^1.7.0
  • seaborn ^0.11.1
  • searchstims >2.3.1
  • tensorboard ^2.5.0
  • torch ^1.8.1
  • torchvision ^0.9.1
  • tqdm ^4.61.1