From ddf79e46a8c5a60b1f94b0e887e3f973afd70fec Mon Sep 17 00:00:00 2001 From: Daniel Steinberg Date: Wed, 28 Jul 2021 09:51:47 +1000 Subject: [PATCH 1/2] update links from data61 to gradient in README --- README.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.rst b/README.rst index 95c9497..42f475d 100644 --- a/README.rst +++ b/README.rst @@ -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 @@ -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 `_ (see the `demos - `_ for more + `_ for more information). @@ -101,7 +101,7 @@ For the best performance on your architecture, we recommend installing `_. Or, to install additional dependencies required by the `demos -`_:: +`_:: $ pip install aboleth[demos] @@ -123,7 +123,7 @@ See the `quick start guide for more in depth guide, have a look at our `tutorials `_. Also see the `demos -`_ folder for more +`_ folder for more examples of creating and training algorithms with Aboleth. The full project documentation can be found on `readthedocs From e848bfe903f0ebb6d12f93217924bc95c424ad8b Mon Sep 17 00:00:00 2001 From: Daniel Steinberg Date: Wed, 28 Jul 2021 09:57:44 +1000 Subject: [PATCH 2/2] data61 -> gradient links in setup.py --- setup.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/setup.py b/setup.py index 6f837f3..304a6f0 100644 --- a/setup.py +++ b/setup.py @@ -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,