Sparse Matrices
Showing 8 of 8 projects
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
A header-only C++ library for solving large-scale eigenvalue problems, built on top of Eigen.
A pure Python library for finite element assembly, transforming bilinear forms into sparse matrices and linear forms into vectors.
A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.
A Go library implementing sparse matrix formats for linear algebra, compatible with Gonum and supporting scientific/ML applications.
A Julia package for graph and network algorithms using matrix-based representations.
A Crystal linear algebra library providing a high-level interface to LAPACK routines for matrix operations.
A Python library that uses Taichi Lang to create custom, high-performance operators for brain dynamics simulations.
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