einops-package: einops: Flexible, Powerful, and Readable Tensor Operations

In einops: Flexible, Powerful, and Readable Tensor Operations

einops: Flexible, Powerful, and Readable Tensor Operations

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.

Author(s)

Maintainer: Qile Yang [e-mail] (ORCID) [copyright holder]

See Also

Useful links:

• https://github.com/Qile0317/einops

• https://qile0317.github.io/einops/

• Report bugs at https://github.com/Qile0317/einops/issues

einops documentation built on Sept. 9, 2025, 5:29 p.m.