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توضیحات

Wavelets with JAX

ویژگی	مقدار
سیستم عامل	-
نام فایل	cr-wavelets-0.3.0
نام	cr-wavelets
نسخه کتابخانه	0.3.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	CR-Wavelets Development Team
ایمیل نویسنده	contact@carnotresearch.com
آدرس صفحه اصلی	https://carnotresearch.github.io/cr-wavelets
آدرس اینترنتی	https://pypi.org/project/cr-wavelets/
مجوز	Apache 2.0: http://www.apache.org/licenses/LICENSE-2.0

Wavelets with JAX ================================================================== |pypi| |license| |zenodo| |docs| |unit_tests| |coverage| Introduction ------------------- ``CR-Wavelets`` is a Python library that enables efficiently solving a wide variety of sparse representation based signal processing problems. It is a cohesive collection of sub-libraries working together. Individual sub-libraries provide functionalities for: wavelets, linear operators, greedy and convex optimization based sparse recovery algorithms, subspace clustering, standard signal processing transforms, and linear algebra subroutines for solving sparse linear systems. It has been built using `Google JAX <https://jax.readthedocs.io/en/latest/>`_, which enables the same high level Python code to get efficiently compiled on CPU, GPU and TPU architectures using `XLA <https://www.tensorflow.org/xla>`_. For detailed documentation and usage, please visit `online docs <https://cr-wavelets.readthedocs.io/en/latest>`_. For theoretical background, please check online notes at `Topics in Signal Processing <https://tisp.indigits.com>`_ and references therein (still under development). ``CR-Wavelets`` is part of `CR-Suite <https://carnotresearch.github.io/cr-suite/>`_. Related libraries: * `CR-Nimble <https://cr-nimble.readthedocs.io>`_ * `CR-Sparse <https://cr-sparse.readthedocs.io>`_ Supported Platforms ---------------------- ``CR-Wavelets`` can run on any platform supported by ``JAX``. We have tested ``CR-Wavelets`` on Mac and Linux platforms and Google Colaboratory. * The latest code in the library has been tested against JAX 0.3.14. ``JAX`` is not officially supported on Windows platforms at the moment. Although, it is possible to build it from source using Windows Subsystems for Linux. Alternatively, you can check out the community supported Windows build for JAX available from https://github.com/cloudhan/jax-windows-builder. This seems to work well and all the unit tests in the library have passed on Windows also. Installation ------------------------------- Installation from PyPI: .. code:: shell python -m pip install cr-wavelets Directly from our GITHUB repository: .. code:: shell python -m pip install git+https://github.com/carnotresearch/cr-wavelets.git Examples/Usage ---------------- See the `examples gallery <https://cr-wavelets.readthedocs.io/en/latest/gallery/index.html>`_ in the documentation. Contribution Guidelines/Code of Conduct ---------------------------------------- * `Contribution Guidelines <CONTRIBUTING.md>`_ * `Code of Conduct <CODE_OF_CONDUCT.md>`_ `Documentation <https://carnotresearch.github.io/cr-wavelets>`_ | `Code <https://github.com/carnotresearch/cr-wavelets>`_ | `Issues <https://github.com/carnotresearch/cr-wavelets/issues>`_ | `Discussions <https://github.com/carnotresearch/cr-wavelets/discussions>`_ | .. |docs| image:: https://readthedocs.org/projects/cr-wavelets/badge/?version=latest :target: https://cr-wavelets.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. |unit_tests| image:: https://github.com/carnotresearch/cr-wavelets/actions/workflows/ci.yml/badge.svg :alt: Unit Tests :target: https://github.com/carnotresearch/cr-wavelets/actions/workflows/ci.yml .. |pypi| image:: https://badge.fury.io/py/cr-wavelets.svg :alt: PyPI cr-wavelets :target: https://badge.fury.io/py/cr-wavelets .. |coverage| image:: https://codecov.io/gh/carnotresearch/cr-wavelets/branch/master/graph/badge.svg?token=JZQW6QU3S4 :alt: Coverage :target: https://codecov.io/gh/carnotresearch/cr-wavelets .. |license| image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg :alt: License :target: https://opensource.org/licenses/Apache-2.0 .. |codacy| image:: https://app.codacy.com/project/badge/Grade/36905009377e4a968124dabb6cd24aae :alt: Codacy Badge :target: https://www.codacy.com/gh/carnotresearch/cr-wavelets/dashboard?utm_source=github.com&utm_medium=referral&utm_content=carnotresearch/cr-wavelets&utm_campaign=Badge_Grade .. |zenodo| image:: https://zenodo.org/badge/525693334.svg :alt: DOI :target: https://zenodo.org/badge/latestdoi/525693334

نیازمندی

مقدار	نام
>=0.0.4	chex
>=0.3.14	jax
>=0.3.14	jaxlib
>=1.18.0	numpy
>=1.6	sympy
-	scipy
-	matplotlib
>=1.0.0	pandas
>=2.20.0	requests
-	imageio
-	click
>=0.3.0	cr-nimble
>=3.3.0	sphinx
>=0.5.0	sphinx-rtd-theme
>=0.7.1	sphinxcontrib-katex
>=1.0.0	sphinxcontrib-bibtex
>=1.11.1	sphinx-autodoc-typehints
>=7.16.1	IPython
>=5.3.4	ipykernel
>>=1.0.2	pandoc
>=0.8.0	nbsphinx
-	requests
-	cr-nimble
-	pytest
-	pytest-cov

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl cr-wavelets-0.3.0:

pip install cr-wavelets-0.3.0.whl

نصب پکیج tar.gz cr-wavelets-0.3.0:

pip install cr-wavelets-0.3.0.tar.gz