Einops

einops is an open-source Python library designed to provide a clear, concise, and expressive way to perform tensor reshaping, rearrangement, and reduction operations. Inspired by Einstein summation notation, einops simplifies complex tensor manipulations, making numerical computing and deep learning code more readable and maintainable.

Features of einops:

• Intuitive and human-readable notation for tensor rearrangement and reduction.
• Simplifies reshaping, transposing, stacking, and splitting of multidimensional arrays.
• Framework-agnostic support for NumPy, PyTorch, TensorFlow, JAX, and MXNet.
• Reduces boilerplate code and minimizes errors in tensor manipulation.
• Lightweight and dependency-free core implementation.
• Improves code clarity, correctness, and long-term maintainability.
• Well-suited for machine learning, deep learning, and scientific computing workflows.
• Easy integration into both research and production environments.

EINOPS Usage:

$ sudo su
$ cd /opt
$ source /opt/einops/activate.sh
$ python -c "import einops; print(einops.__version__)"
  

Disclaimer: einops is open-source software distributed under the MIT License. It is independently developed and maintained by the einops open-source community. The software is provided "as is," without warranties or guarantees of any kind. Users are responsible for ensuring proper usage and compliance with applicable licenses and regulations.