0.1.1

🐛 Bug Fix

• fix: replace key retrieval and normalizers #157 (@satra)
• fix: separate auto release and publish to pypi #156 (@satra)
• [pre-commit.ci] pre-commit autoupdate #154 (@pre-commit-ci[bot])

⚠️ Pushed to master

• fix: add twine upload to release (@satra)

Authors: 2

• @pre-commit-ci[bot]
• Satrajit Ghosh (@satra)

0.1.0

🚀 Enhancement

• fix: change nobrainer models repo, readme, and guide notebooks #150 (@satra @pre-commit-ci[bot])
• Enh/docker #148 (@satra)
• fix: Update release.yml to handle branch protection #147 (@satra)

🐛 Bug Fix

• add zenodo file #153 (@satra @pre-commit-ci[bot])
• enh: change standardize in dataset creation to a callable #152 (@satra)
• ENH: Bayesian neural network architectures with training requisites #126 (@Aakanksha-Rana @satra @pre-commit-ci[bot])
• fix: standardize not imported for dataset creation #151 (@satra)
• add estimator prediction function for kwyk model #149 (@Hoda1394 @pre-commit-ci[bot] @satra)
• Fix for the generate cli pytest and generation guide notebook #146 (@wazeerzulfikar)
• Created using Colaboratory #144 (@satra @pre-commit-ci[bot])
• [pre-commit.ci] pre-commit autoupdate #142 (@pre-commit-ci[bot])
• FIX: keeping compatibility with official tensorflow docker images #141 (@satra)
• Add bayesian prediction #128 (@Hoda1394 @satra @pre-commit-ci[bot])
• ENH: Transform composition #113 (@Aakanksha-Rana @satra @pre-commit-ci[bot])
• fixes #124 #125 (@shashankbansal6 @satra)
• fix: update dockerfiles to tensorflow 2.5.0 #140 (@satra)
• ENH: Add progressive gan to nobrainer #138 (@wazeerzulfikar @satra @djarecka)
• add: release mechanism #139 (@satra)
• Add progressiveGAN for 3D brain MR images #114 (@wazeerzulfikar)
• Enh/notebooks #137 (@satra)
• add CI workflow badge #133 (@kaczmarj)
• move CI to github actions #131 (@Hoda1394)
• Enh/minor updates #123 (@kaczmarj)
• export LC_ALL and LANG + use tensorflow 2.3.1 #118 (@kaczmarj)
• use specific version of cloudpickle to fix import error #108 (@kaczmarj)
• force reinstall of python dependencies in travis ci #102 (@kaczmarj)

⚠️ Pushed to master

• fix: use token for auto with repo access (@satra)
• Created using Colaboratory (@satra)
• Update release.yml (@satra)

Authors: 8

• @Hoda1394
• @pre-commit-ci[bot]
• Aakanksha Rana (@Aakanksha-Rana)
• Dorota Jarecka (@djarecka)
• Jakub Kaczmarzyk (@kaczmarj)
• Satrajit Ghosh (@satra)
• Shashank Bansal (@shashankbansal6)
• Wazeer Zulfikar (@wazeerzulfikar)

Nobrainer version 0.0.4

This release is meant to trigger versioned builds on DockerHub at https://hub.docker.com/repository/docker/neuronets/nobrainer.

Nobrainer version 0.0.3

Install this version with pip install nobrainer==0.0.3.

This release of Nobrainer includes enhancements to TFRecord creation and reading. Datasets with scalar labels are now supported. The variational meshnet architecture is also included (using tensorflow-probability), as well as custom dropout methods. The guides have been updated to reflect these changes, and the guide notebooks are executed during continuous integration.