Iterative algorithms for numerical linear algebra with JAX
Project description
CR-Nimble
CR-Nimble consists of fast linear algebra
and signal processing routines.
Most of the routines have been implemented using
Google JAX. Thus, they can be easily run on
a variety of hardware (CPU, GPU, TPU).
Functionality includes:
- Utility functions for working with vectors, matrices and arrays
- Linear algebra functions
- Digital signal processing functions
- Data compression functions
- Test data generation functions
Installation
python -m pip install cr-nimble
For Windows, you can use unofficial JAX builds from here.
Import
import cr.nimble as crn
See documentation for library usage.
CR-Nimble is part of
CR-Suite.
Related libraries:
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