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
Import
import cr.nimble as crn
See documentation for library usage.
CR-Nimble
is part of
CR-Suite.
Related libraries:
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cr-nimble-0.3.0.tar.gz
(48.4 kB
view hashes)
Built Distribution
cr_nimble-0.3.0-py3-none-any.whl
(80.3 kB
view hashes)
Close
Hashes for cr_nimble-0.3.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 49e22459559615f1a4bce92f51956c78d89e0ed3c60a5211cb273e3bc049cd57 |
|
MD5 | d8a3d5889e170a189c82d6fd6542f71b |
|
BLAKE2b-256 | 600a7b6e1168893f6dbdbee8e318b7ea194b8ecfdbb1514948d29900c10523b5 |