⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Hyper optimized contraction trees for large tensor networks and einsums

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One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.

It slices, it dices, it splices!

An implementation of EinsumNetworks in PyTorch.

Stats, linear algebra and einops for xarray

Generic PyTorch implementation of einsum that supports different semirings

Einsum optimization using opt_einsum and PyTorch FX graph rewriting

Einsum Expressions in Julia

Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.

A collection of state-of-the-art contraction ordering algorithms. https://arxiv.org/abs/2209.12332

Rust accelerated contraction ordering primitives for tensor networks and einsums

TBLIS FFI bindings, wrapper and build-from-source

Tensors and Einstein Summation in Julia

Convolutions and more as einsum for PyTorch

NumPy's Einsum, but with named subscripts.

A R package for efficient computation of U-statistics.