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update links from data61 to gradient in README #211

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ddf79e4
update links from data61 to gradient in README
dsteinberg Jul 27, 2021
e848bfe
data61 -> gradient links in setup.py
dsteinberg Jul 27, 2021
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10 changes: 5 additions & 5 deletions README.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,8 @@ Aboleth

.. |copy| unicode:: 0xA9

.. image:: https://circleci.com/gh/data61/aboleth/tree/develop.svg?style=svg&circle-token=f02db635cf3a7e998e17273c91f13ffae7dbf088
:target: https://circleci.com/gh/data61/aboleth/tree/develop
.. image:: https://circleci.com/gh/gradientinstitute/aboleth/tree/develop.svg?style=svg&circle-token=f02db635cf3a7e998e17273c91f13ffae7dbf088
:target: https://circleci.com/gh/gradientinstitute/aboleth/tree/develop
:alt: circleCI

.. image:: https://readthedocs.org/projects/aboleth/badge/?version=stable
Expand All @@ -32,7 +32,7 @@ Some of the features of Aboleth:
- Very flexible construction of networks, e.g. multiple inputs, ResNets etc.
- Compatible and interoperable with other neural net frameworks such as `Keras
<https://keras.io/>`_ (see the `demos
<https://github.com/data61/aboleth/tree/develop/demos>`_ for more
<https://github.com/gradientinstitute/aboleth/tree/develop/demos>`_ for more
information).


Expand Down Expand Up @@ -101,7 +101,7 @@ For the best performance on your architecture, we recommend installing
<https://www.tensorflow.org/install/install_sources>`_.

Or, to install additional dependencies required by the `demos
<https://github.com/data61/aboleth/tree/develop/demos>`_::
<https://github.com/gradientinstitute/aboleth/tree/develop/demos>`_::

$ pip install aboleth[demos]

Expand All @@ -123,7 +123,7 @@ See the `quick start guide
for more in depth guide, have a look at our `tutorials
<http://aboleth.readthedocs.io/en/latest/tutorials/tutorials.html>`_.
Also see the `demos
<https://github.com/data61/aboleth/tree/develop/demos>`_ folder for more
<https://github.com/gradientinstitute/aboleth/tree/develop/demos>`_ folder for more
examples of creating and training algorithms with Aboleth.

The full project documentation can be found on `readthedocs
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4 changes: 2 additions & 2 deletions setup.py
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Expand Up @@ -15,8 +15,8 @@
description='Bayesian supervised deep learning with TensorFlow',
long_description=readme,
author='Daniel Steinberg, Lachlan McCalman',
author_email='daniel.steinberg@data61.csiro.au',
url='https://github.com/data61/aboleth',
author_email='dan.steinberg@gradientinstitute.org',
url='https://github.com/gradientinstitute/aboleth',
packages=find_packages(),
package_dir={'aboleth': 'aboleth'},
include_package_data=True,
Expand Down