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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>.
Getting started
Browse package contents
Package details |
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| Author | Qile Yang [cre, aut, cph] (ORCID: <https://orcid.org/0009-0005-0148-2499>) |
| Maintainer | Qile Yang <qile.yang@berkeley.edu> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| URL | https://github.com/Qile0317/einops https://qile0317.github.io/einops/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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