#tensor operations

Einops offers a consistent API for tensor operations across platforms such as numpy, pytorch, and tensorflow, focusing on operations like rearrange, reduce, and repeat. Recent enhancements include framework support, functionality improvements, and features such as EinMix for linear layers. Its semantic clarity and uniform behavior facilitate intuitive tensor manipulation, independent of the framework.

Explore a versatile Python library that simplifies tensor operations across frameworks like Numpy, PyTorch, Jax, and Tensorflow. Drawing inspiration from Einstein notation, it features unique concepts like full composability and bracket notation. The library allows just-in-time compilation, offering smooth integration with existing code for optimized performance. Suitable for neural network operations including layer normalization and multi-head attention, it is excellent for advanced computational tasks.