b4tf is a Python module providing a set of bayesian neural network on TensorFlow.
b4tf requires following softwares before installation
The following command installs b4tf together with other dependancies.
pip install b4tf
Depending on your environment, you might need sudo or --user flag
for installation.
First, download source code manually or clone the repository;
git clone https://gitlab.com/ymd_h/b4tf.git
Then you can install same way;
cd b4tf
pip install .
Currently, b4tf implements following algorithms. We will implement more.
Any contribution are very welcome!
Bigger commumity makes development more active and improve b4tf.
When you have any problems or requests, you can check issues on GitLab.com. If you still cannot find any information, you can open your own issue.
b4tf follows local rules:
python -m unittest <Your Test Code> command.gitlab-ci.yamlStep by step instruction for beginners is described at here.
b4tf is available under MIT lisence.
MIT License
Copyright (c) 2020 Yamada Hiroyuki
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
FAQs
Bayian Neural Network for TensorFlow
We found that b4tf demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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