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:
1 maintainer
Release files for cr-nimble 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cr-nimble-0.4.0.tar.gz | 55.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cr_nimble-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.7 kB
Release files / cr-nimble-0.4.0.tar.gz
| Download URL | cr-nimble-0.4.0.tar.gz |
|---|---|
| Size | 55.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / cr_nimble-0.4.0-py3-none-any.whl
| Download URL | cr_nimble-0.4.0-py3-none-any.whl |
|---|---|
| Size | 89.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.2 CPython/3.8.18
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