NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
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NumPy & SciPy for GPU
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
C++ library for solving large sparse linear systems with algebraic multigrid method
Parallel solvers for sparse linear systems featuring multigrid methods.
Algebraic Multigrid Solvers in Python
Numerical linear algebra software package
Dense and sparse linear algebra library for Ruby via SciRuby
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
Mir (backports): Sparse tensors, Hoffman
Sparse matrix formats for linear algebra supporting scientific and machine learning applications