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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...
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
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