Julia wrapper for TBLIS with TensorOperations.jl
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Updated
May 7, 2024 - Julia
Julia wrapper for TBLIS with TensorOperations.jl
Rust accelerated contraction ordering primitives for tensor networks and einsums
einsum via batch matrix multiply
Transposition-free Complex Tensor Contractions
Database approach for generating near-roofline Einstein Summation kernels.
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
C++ Header-Only Library for High-Performance Tensor-Vector Multiplication
Strassen's Algorithm for Tensor Contraction
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Tensor Contraction C++ Library
Machine Intelligence Shader Autogen. AMDGPU ML shader code generator. (previously iGEMMgen)
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
Hyper optimized contraction trees for large tensor networks and einsums
Julia package for tensor contractions and related operations
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
A lightweight high performance tensor algebra framework for modern C++
Stretching GPU performance for GEMMs and tensor contractions.
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