tensorflow

TensorFlow for R

https://github.com/rstudio/tensorflow

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 24 committers (8.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.7%) to scientific vocabulary

Keywords from Contributors

deep-neural-networks distributed grammar data-manipulation latex literate-programming pandoc rmarkdown book c-plus-plus-14
Last synced: 10 months ago · JSON representation

Repository

TensorFlow for R

Basic Info
Statistics
  • Stars: 1,338
  • Watchers: 91
  • Forks: 322
  • Open Issues: 40
  • Releases: 16
Created almost 10 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.md

TensorFlow for R

R build status CRAN\_Status\_Badge

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

The TensorFlow API is composed of a set of Python modules that enable constructing and executing TensorFlow graphs. The tensorflow package provides access to the complete TensorFlow API from within R.

Installation

To get started, install the tensorflow R package from GitHub as follows:

r devtools::install_github("rstudio/tensorflow")

Then, use the install_tensorflow() function to install TensorFlow:

r library(tensorflow) install_tensorflow()

You can confirm that the installation succeeded with:

r hello <- tf$constant("Hello") print(hello)

This will provide you with a default installation of TensorFlow suitable for getting started with the tensorflow R package. See the article on installation to learn about more advanced options, including installing a version of TensorFlow that takes advantage of Nvidia GPUs if you have the correct CUDA libraries installed.

Documentation

See the package website for additional details on using the TensorFlow API from R: https://tensorflow.rstudio.com

See the TensorFlow API reference for details on all of the modules, classes, and functions within the API: https://www.tensorflow.org/api_docs/python/tf/all_symbols

The tensorflow package provides code completion and inline help for the TensorFlow API when running within the RStudio IDE. In order to take advantage of these features you should also install the Current Release of RStudio.

Owner

  • Name: RStudio
  • Login: rstudio
  • Kind: organization
  • Email: info@rstudio.org
  • Location: Boston, MA

GitHub Events

Total
  • Create event: 7
  • Release event: 1
  • Issues event: 14
  • Watch event: 18
  • Delete event: 3
  • Issue comment event: 19
  • Push event: 31
  • Pull request event: 13
  • Fork event: 2
Last Year
  • Create event: 7
  • Release event: 1
  • Issues event: 14
  • Watch event: 18
  • Delete event: 3
  • Issue comment event: 19
  • Push event: 31
  • Pull request event: 13
  • Fork event: 2

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 1,499
  • Total Committers: 24
  • Avg Commits per committer: 62.458
  • Development Distribution Score (DDS): 0.409
Past Year
  • Commits: 34
  • Committers: 2
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.029
Top Committers
Name Email Commits
JJ Allaire jj@r****g 886
Tomasz Kalinowski k****t@g****m 329
Daniel Falbel d****l@g****m 98
terrytangyuan t****n@g****m 44
Javier Luraschi j****i@h****m 38
Nick Golding g****5@g****m 29
Kevin Ushey k****y@g****m 24
Sigrid Keydana k****a@g****e 21
Jim Hester j****r@g****m 7
Dirk Eddelbuettel e****d@d****g 4
Terry Tang t****g@u****m 3
Daniel Klotz d****z@b****t 2
Jemma Stachelek j****a 2
Juan Cruz Rodriguez j****z@b****r 2
Daniel Medina Stacey d****a@g****m 1
Frans van Dunné F****D 1
Hernando Cortina h****h@a****u 1
Kevin Mader k****r 1
RalphJO r****n@b****m 1
alexanderbeatson h****o@a****e 1
kevinykuo k****o@g****m 1
NAKAMURA Michihiro n****s@g****m 1
lorenzomoriconi l****i@g****m 1
unrahul r****r@i****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 123
  • Total pull requests: 35
  • Average time to close issues: 3 months
  • Average time to close pull requests: 6 months
  • Total issue authors: 87
  • Total pull request authors: 8
  • Average comments per issue: 3.52
  • Average comments per pull request: 0.43
  • Merged pull requests: 28
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 11
  • Pull requests: 13
  • Average time to close issues: about 22 hours
  • Average time to close pull requests: 3 days
  • Issue authors: 10
  • Pull request authors: 2
  • Average comments per issue: 1.09
  • Average comments per pull request: 0.08
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • t-kalinowski (18)
  • njtierney (9)
  • avrenli2 (4)
  • mcvta (2)
  • dkgaraujo (2)
  • denvercal1234GitHub (2)
  • AlphaLX (2)
  • mohamed-180 (2)
  • jonathannathanaus (2)
  • ralmond (2)
  • Allisterh (1)
  • mr-francois (1)
  • englianhu (1)
  • ginxyang (1)
  • langzeng (1)
Pull Request Authors
  • t-kalinowski (32)
  • RalphJO (2)
  • dfalbel (2)
  • jsta (1)
  • alexanderbeatson (1)
  • zengfengbo (1)
  • javierluraschi (1)
  • mohamed-180 (1)
Top Labels
Issue Labels
awaiting response (9) installation (3) apple silicon (2) docs (2) bug (2) enhancement (1) good first issue (1)
Pull Request Labels

Packages

  • Total packages: 3
  • Total downloads:
    • cran 58,863 last-month
  • Total docker downloads: 90,034
  • Total dependent packages: 62
    (may contain duplicates)
  • Total dependent repositories: 106
    (may contain duplicates)
  • Total versions: 58
  • Total maintainers: 1
cran.r-project.org: tensorflow

R Interface to 'TensorFlow'

  • Versions: 29
  • Dependent Packages: 56
  • Dependent Repositories: 105
  • Downloads: 58,863 Last month
  • Docker Downloads: 90,034
Rankings
Forks count: 0.1%
Stargazers count: 0.2%
Average: 1.6%
Dependent packages count: 1.8%
Dependent repos count: 2.2%
Docker downloads count: 2.3%
Downloads: 2.8%
Maintainers (1)
Last synced: 10 months ago
proxy.golang.org: github.com/rstudio/tensorflow
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 9.0%
Average: 9.6%
Dependent repos count: 10.2%
Last synced: 10 months ago
conda-forge.org: r-tensorflow
  • Versions: 14
  • Dependent Packages: 6
  • Dependent Repositories: 1
Rankings
Dependent packages count: 9.0%
Forks count: 9.7%
Stargazers count: 11.1%
Average: 13.5%
Dependent repos count: 24.4%
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1 depends
  • config * imports
  • grDevices * imports
  • processx * imports
  • reticulate >= 1.24 imports
  • rstudioapi >= 0.7 imports
  • tfautograph >= 0.3.1 imports
  • tfruns >= 1.0 imports
  • utils * imports
  • yaml * imports
  • callr * suggests
  • keras * suggests
  • testthat >= 2.1.0 suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/awaiting-response-close.yml actions
  • actions/stale v4 composite
.github/workflows/awaiting-response-remove-label.yml actions