Freeing you from the tyranny of having to choose which platform you write your compute intense workload for. Making cross platform, compute intense linear alegbra problems less... vexing.
Aims to provide convienent and intuitive syntax for vector computations with best-in-class inline-shim-to-BLAS performance.
| JVM | JS | Native | |
|---|---|---|---|
| Data structure | Array[Double] |
Float64Array |
Array[Double] |
| Shims to | https://github.com/luhenry/netlib | https://github.com/stdlib-js/blas | CBLAS |
This is a very neat piece of work. https://github.com/dragonfly-ai/narr