The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
einops: Flexible, Powerful, and Readable Tensor Operations
Perform tensor operations using a concise yet expressive syntax inspired by the Python library of the same name.
Reshape, rearrange, and combine multidimensional arrays for scientific computing, machine learning, and data analysis.
Einops simplifies complex manipulations, making code more maintainable and intuitive.
The original implementation is demonstrated in Rogozhnikov (2022) <https://openreview.net/forum?id=oapKSVM2bcj>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
assertthat, FastUtils, glue, magrittr, r2r, R6, roperators |
| Suggests: |
abind, grid, imager, knitr, lifecycle, lintr, lobstr, rmarkdown, spelling, testthat (≥ 3.0.0), torch, zeallot |
| Published: |
2025-09-03 |
| DOI: |
10.32614/CRAN.package.einops |
| Author: |
Qile Yang  [cre,
aut, cph] |
| Maintainer: |
Qile Yang <qile.yang at berkeley.edu> |
| BugReports: |
https://github.com/Qile0317/einops/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/Qile0317/einops,
https://qile0317.github.io/einops/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
einops citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
einops results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=einops
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.