mir
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
What is mir?
Mir is a generic numerical library for the D programming language, focused on scientific computing and machine learning. It provides sparse tensor operations, linear algebra routines, combinatorial utilities, and specialized machine learning models like LDA for topic modeling. The library is designed as a modular ecosystem with separate packages for algorithms, random number generation, and optimization.
D developers and researchers working on numerical computing, scientific simulations, data analysis, and machine learning projects who need high-performance sparse tensor operations and linear algebra.
Mir offers a native D solution with seamless integration to optimized BLAS/LAPACK backends, modular design for flexibility, and specialized components like sparse tensors and topic modeling not commonly found in other D numerical libraries.
Overview
Mir (backports): Sparse tensors, Hoffman
Use Cases
Best For
- Implementing sparse tensor computations in D applications
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