tensorflow-mri

A collection of TensorFlow add-ons for computational MRI.

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

TensorFlow MRI is a collection of TensorFlow add-ons for computational MRI.

Installation

You can install TensorFlow MRI with pip:

$ pip install tensorflow-mri

Note that only Linux wheels are currently being provided.

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.22.0

Sep 28, 2022

0.21.0

Jul 24, 2022

0.20.0

Jun 18, 2022

0.19.0

Jun 1, 2022

0.18.0

May 6, 2022

0.17.0

Apr 22, 2022

0.16.0

Apr 13, 2022

0.15.0

Apr 2, 2022

0.14.0

Mar 29, 2022

0.13.0

Mar 14, 2022

0.12.0

Mar 13, 2022

0.11.0

Mar 10, 2022

0.10.0

Mar 2, 2022

0.9.0

Dec 3, 2021

0.8.0

Nov 11, 2021

0.7.0

Nov 3, 2021

0.6.2

Oct 13, 2021

0.6.1

Sep 30, 2021

0.6.0

Sep 28, 2021

0.5.0

Aug 29, 2021

0.4.0

Aug 18, 2021

0.3.0

Aug 14, 2021

This version

0.2.0a1 pre-release

Aug 1, 2021

0.2.0a0 pre-release

Jul 31, 2021

0.1.0a6 pre-release

Jul 28, 2021

0.1.0a5 pre-release

Jul 23, 2021

0.1.0a4 pre-release

Jul 23, 2021

0.1.0a3 pre-release

Jul 23, 2021

0.1.0a2 pre-release

Jul 22, 2021

0.1.0a1 pre-release

Jul 21, 2021

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tensorflow_mri-0.2.0a1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (50.2 kB view hashes)

Uploaded Aug 1, 2021 CPython 3.9 manylinux: glibc 2.12+ x86-64

tensorflow_mri-0.2.0a1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (50.2 kB view hashes)

Uploaded Aug 1, 2021 CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow_mri-0.2.0a1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (50.2 kB view hashes)

Uploaded Aug 1, 2021 CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow_mri-0.2.0a1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (50.2 kB view hashes)

Uploaded Aug 1, 2021 CPython 3.6m manylinux: glibc 2.12+ x86-64

Hashes for tensorflow_mri-0.2.0a1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_mri-0.2.0a1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`56a9abc8932e1c1275f3fd9df16dcf95d3f3f5ef1a28e902bc43a672a50168ef`
MD5	`8383bca62dad659725b2d6b1699a1be8`
BLAKE2b-256	`8b0470e708d1d4418014823cfdb0fc0eee7b73ede6395d55e11f11b221fabce3`

Hashes for tensorflow_mri-0.2.0a1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_mri-0.2.0a1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`e3b7eacd2c09253c8387fbc4dd98c3bd036a5086323f67f17bd60e2e4380fc76`
MD5	`69e0d2666482c07e3d3868ccad6a3a9d`
BLAKE2b-256	`8acc0c035a8083aa4897305cd05ef236dde7c381bb171cb33263a1120bef8cf2`

Hashes for tensorflow_mri-0.2.0a1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_mri-0.2.0a1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`0c36384e7475d20c01479e753af9d56bdb02fe913d5711c9f8121d75616c7db7`
MD5	`772bc442c918b61202630994a1885efd`
BLAKE2b-256	`8bd0e4157e43f0bb1f19578b3f0668134c792a004598ae58b760495a3640a536`

Hashes for tensorflow_mri-0.2.0a1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_mri-0.2.0a1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`c752a66ce40280d715a004a077a8f92112916d22b65be8424affe59aa9a95295`
MD5	`2f782c046ec8b84b1c03d2d7c90bd727`
BLAKE2b-256	`6f78c81d6ce9e6f355b137e38fd805172ca134ee27a060e9b28b0cbc55972978`