Database approach for generating near-roofline Einstein Summation kernels.

Hyper optimized contraction trees for large tensor networks and einsums

C++ Header-Only Library for High-Performance Tensor-Vector Multiplication

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Rust accelerated contraction ordering primitives for tensor networks and einsums

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

benchmark and verification pairwise tensor contractions for einsum implementations

Julia package for tensor contractions and related operations

Einsum Path Optimization for Tensor Contraction (opt_einsum in Rust, without computation)

Implementation of Butler-Portugal algorithm for tensor canonicalization in Rust

Julia wrapper for TBLIS with TensorOperations.jl

Machine Intelligence Shader Autogen. AMDGPU ML shader code generator. (previously iGEMMgen)

A lightweight high performance tensor algebra framework for modern C++

A header-only library for transposition-free tensor contractions

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

A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

einsum via batch matrix multiply

Collection of basic and advanced Tensor Algebra operations using Matlab and Python.

Tensor Contraction C++ Library