Using Linear Algebra Techniques to accelerate Gaussian Process Regression
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Updated
Jun 12, 2024 - Python
Using Linear Algebra Techniques to accelerate Gaussian Process Regression
FlexiBLAS - A BLAS and LAPACK wrapper library with runtime exchangeable backends. This is only a mirror of https://gitlab.mpi-magdeburg.mpg.de/software/flexiblas-release
some math-related js classes and possibly more
header-only mathematics library for when you don't care about performance and just want to test something real quick
Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
Extended precision integer, fractional, and matrix types for Kotlin/JVM. (currently WIP)
Statistical Machine Intelligence & Learning Engine
Linear Algebra C++ Library, Basic functionality, Independent from STLs.
3rd degree polynomial spline trajectory generator
Python bindings for Eigen Tux library using Boost Python
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
CEED Library: Code for Efficient Extensible Discretizations
A concise library for solving sparse linear systems with direct methods.
LAPACK development repository
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
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