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einops  

Flexible, Powerful, and Readable Tensor Operations
View on CRAN: Click here


Download and install einops package within the R console
Install from CRAN:
install.packages("einops")

Install from Github:
library("remotes")
install_github("cran/einops")

Install by package version:
library("remotes")
install_version("einops", "0.2.1")



Attach the package and use:
library("einops")
Maintained by
Qile Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-03
Latest Update: 2025-09-03
Description:
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>.
How to cite:
Qile Yang (2025). einops: Flexible, Powerful, and Readable Tensor Operations. R package version 0.2.1, https://cran.r-project.org/web/packages/einops. Accessed 16 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited einops R package
View einops citation profile
Other R packages that einops depends, imports, suggests or enhances
Complete documentation for einops
Functions, R codes and Examples using the einops R package
Full einops package functions and examples
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