The fundamental package for scientific computing with Python.
- numpy
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The fundamental package for scientific computing with Python.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Algebraic Multigrid Solvers in Python
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Python library for multilinear algebra and tensor factorizations
A framework for high-performance domain decomposition methods.
hsolve:电磁仿真大规模非正定厄密特征值求解。Certified shift-invert eigensolver for large sparse Hermitian (indefinite, generalized) eigenproblems from EM simulation: MUMPS LDLᵀ + block Krylov-Schur + Sylvester-inertia completeness certificate.
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A matrix library for the MicroPython language
A subset of numpy for Micropython