xesn

xesn: Echo state networks powered by Xarray and Dask - Published in JOSS (2024)

https://github.com/timothyas/xesn

Science Score: 93.0%

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
    Found .zenodo.json file
  • DOI references
    Found 13 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: arxiv.org, joss.theoj.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

Large scale Echo State Networks powered by xarray and dask.

Basic Info
  • Host: GitHub
  • Owner: timothyas
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://xesn.readthedocs.io
  • Size: 1.94 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 1
  • Releases: 9
Created about 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Support Codemeta

README.md

xesn

codecov Documentation Status Conda Version PyPI version

DOI

Echo State Networks powered by xarray and dask.

Description

xesn is a python package for implementing Echo State Networks (ESNs), a particular form of Recurrent Neural Network originally introduced by Jaeger (2001). The main purpose of the package is to enable ESNs for relatively large scale weather and climate applications, for example as by Smith et al., (2023) and Arcomano et al., (2020). The package is designed to strike the balance between simplicity and flexibility, with a focus on implementing features that were shown to matter most by Platt et al., (2022).

xesn uses xarray to handle multi-dimensional data, relying on dask for parallelization and to handle datasets/networks that are too large for a single compute node. At its core, xesn uses numpy and cupy for efficient CPU and GPU deployment.

Installation

Installation from conda-forge

shell conda install -c conda-forge xesn

Installation from pip

shell pip install xesn

Installation from source

shell git clone https://github.com/timothyas/xesn.git cd xesn pip install -e .

Note that additional dependencies can be installed to run the unit test suite::

shell pip install -e .[test] pytest xesn/test/*.py

Getting Started

To learn how to use xesn, check out the documentation here

Get in touch

Report bugs, suggest features, or view the source code on GitHub.

License and Copyright

xesn is licensed under the Apache-2.0 License.

Development occurs on GitHub at https://github.com/timothyas/xesn.

Citation

If you find xesn useful, we would appreciate it if you cite the package as follows:

Smith et al., (2024). xesn: Echo state networks powered by Xarray and Dask. Journal of Open Source Software, 9(103), 7286, https://doi.org/10.21105/joss.07286

Here's a sample bibtex entry:

tex @article{ Smith2024, doi = {10.21105/joss.07286}, url = {https://doi.org/10.21105/joss.07286}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {103}, pages = {7286}, author = {Timothy A. Smith and Stephen G. Penny and Jason A. Platt and Tse-Chun Chen}, title = {xesn: Echo state networks powered by Xarray and Dask}, journal = {Journal of Open Source Software} }

Owner

  • Name: Timothy Smith
  • Login: timothyas
  • Kind: user
  • Location: Boulder, CO
  • Company: NOAA PSL / CIRES

JOSS Publication

xesn: Echo state networks powered by Xarray and Dask
Published
November 12, 2024
Volume 9, Issue 103, Page 7286
Authors
Timothy A. Smith ORCID
Physical Sciences Laboratory (PSL), National Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USA
Stephen G. Penny ORCID
Sofar Ocean, San Francisco, CA, USA, Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, Boulder, CO, USA
Jason A. Platt ORCID
University of California San Diego (UCSD), La Jolla, CA, USA
Tse-Chun Chen ORCID
Pacific Northwest National Laboratory, Richland, WA, USA
Editor
Jonny Saunders ORCID
Tags
echo state networks xarray dask numpy cupy

CodeMeta (codemeta.json)

{
  "@context": "https://raw.githubusercontent.com/codemeta/codemeta/master/codemeta.jsonld",
  "@type": "Code",
  "author": [],
  "identifier": "",
  "codeRepository": "https://github.com/timothyas/xesn",
  "datePublished": "2024-11-01",
  "dateModified": "2024-11-01",
  "dateCreated": "2023-12-15",
  "description": "Echo State Networks powered by xarray and dask.",
  "keywords": "echo state networks, machine learning, weather, climate, forecasting",
  "license": "Apache-2.0",
  "title": "xesn",
  "version": "v0.2.0"
}

GitHub Events

Total
  • Create event: 7
  • Release event: 3
  • Issues event: 4
  • Watch event: 1
  • Delete event: 5
  • Issue comment event: 18
  • Push event: 25
  • Pull request review event: 1
  • Pull request event: 8
Last Year
  • Create event: 7
  • Release event: 3
  • Issues event: 4
  • Watch event: 1
  • Delete event: 5
  • Issue comment event: 18
  • Push event: 25
  • Pull request review event: 1
  • Pull request event: 8

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 69
  • Total Committers: 1
  • Avg Commits per committer: 69.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 6
  • Committers: 1
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Timothy Smith s****w@g****m 69

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 36
  • Total pull requests: 47
  • Average time to close issues: 27 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 1.28
  • Average comments per pull request: 0.64
  • Merged pull requests: 47
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 5
  • Average time to close issues: 2 days
  • Average time to close pull requests: about 10 hours
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 4.0
  • Average comments per pull request: 1.6
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • timothyas (31)
  • sneakers-the-rat (2)
Pull Request Authors
  • timothyas (57)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 25 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
pypi.org: xesn

Echo State Networks powered by xarray

  • Documentation: https://xesn.readthedocs.io/
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  • Latest release: 0.2.2
    published over 1 year ago
  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 25 Last month
Rankings
Dependent packages count: 10.0%
Average: 38.8%
Dependent repos count: 67.5%
Maintainers (1)
Last synced: 6 months ago

Dependencies

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ci/environment.yaml conda
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docs/environment.yaml conda
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