50 skills found · Page 1 of 2
dgasmith / Opt Einsum⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
romeric / FastorA lightweight high performance tensor algebra framework for modern C++
QuantumKitHub / TensorOperations.jlJulia package for tensor contractions and related operations
ROCm / Tensile[DEPRECATED] Moved to ROCm/rocm-libraries repo
jcmgray / CotengraHyper optimized contraction trees for large tensor networks and einsums
spacetimeengineer / SpacetimeengineA Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
MatthewsResearchGroup / TblisTBLIS is a library and framework for performing tensor operations, especially tensor contraction, using efficient native algorithms.
tensorly / TorchTensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
Einsums / EinsumsProvides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
XanaduAI / JetJet is a cross-platform library for simulating quantum circuits using tensor network contractions.
chubbc / SweepContractor.jlJulia package for contraction of tensor networks, based on the sweep line algorithm outlined in the paper "General tensor network decoding of 2D Pauli codes" (arXiv:2101.04125).
springer13 / TclTensor Contraction C++ Library
mhauru / NconTensor network contraction function for Python 3.
aspuru-guzik-group / QtorchqTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
HPAC / TccgTensor Contraction Code Generator
llnl / AcrotensorA C++ library for computing large scale tensor contractions.
ROCm / MISAMachine Intelligence Shader Autogen. AMDGPU ML shader code generator. (previously iGEMMgen)
TensorBFS / OMEinsumContractionOrders.jlTensor network contraction order optimizers (not only) for OMEinsum
google-research / TncoTNCO is a heuristic tool that optimizes tensor network contraction paths.
jcmgray / CotengrustRust accelerated contraction ordering primitives for tensor networks and einsums
