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b4tf-1.1.2


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توضیحات

Bayian Neural Network for TensorFlow
ویژگی مقدار
سیستم عامل -
نام فایل b4tf-1.1.2
نام b4tf
نسخه کتابخانه 1.1.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Hiroyuki Yamada
ایمیل نویسنده -
آدرس صفحه اصلی https://gitlab.com/ymd_h/b4tf
آدرس اینترنتی https://pypi.org/project/b4tf/
مجوز -
![img](https://img.shields.io/gitlab/pipeline/ymd_h/b4tf.svg) ![img](https://img.shields.io/pypi/v/b4tf.svg) ![img](https://img.shields.io/pypi/l/b4tf.svg) ![img](https://img.shields.io/pypi/status/b4tf.svg) [![img](https://gitlab.com/ymd_h/b4tf/badges/master/coverage.svg)](https://ymd_h.gitlab.io/b4tf/coverage/) ![img](./site/static/images/logo.png) # Overview b4tf is a Python module providing a set of bayesian neural network on [TensorFlow](https://www.tensorflow.org/). # Installation b4tf requires following softwares before installation - [TensorFlow 2.x](https://www.tensorflow.org/) - [TnesorFlow Probability](https://www.tensorflow.org/probability) - Python 3.x ## Install from [PyPI](https://pypi.org/) (Recommended) 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. ## Install from source code 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 . # Implemented Algorithms Currently, b4tf implements following algorithms. We will implement more. - Probabilistic Backpropagation (PBP) ([Paper](https://arxiv.org/abs/1502.05336), [Doc](https://ymd_h.gitlab.io/b4tf/algorithms/pbp), [API](https://ymd_h.gitlab.io/b4tf/api/b4tf.models.pbp.html#b4tf.models.pbp.PBP)) - Monte Carlo Batch Normalization (MCBN) ([Paper](https://arxiv.org/abs/1802.06455), [Doc](https://ymd_h.gitlab.io/b4tf/algorithms/mcbn/), [API](https://ymd_h.gitlab.io/b4tf/api/b4tf.models.mcbn.html#b4tf.models.mcbn.MCBN)) # Contributing to b4tf Any contribution are very welcome! ## Making Community Larger Bigger commumity makes development more active and improve b4tf. - Star [this GitLab repository](https://gitlab.com/ymd_h/b4tf) (and/or [GitHub Mirror](https://github.com/ymd-h/b4tf)) - Publish your code using b4tf - Share this repository to your friend and/or followers. ## Report Issue When you have any problems or requests, you can check [issues on GitLab.com](https://gitlab.com/ymd_h/b4tf/issues). If you still cannot find any information, you can open your own issue. ## Merge Request (Pull Request) b4tf follows local rules: - Branch Name - "HotFix<sub>\*</sub>\*\*" for bug fix - "Feature<sub>\*</sub>\*\*" for new feature implementation - docstring - Must for external API - [Numpy Style](https://numpydoc.readthedocs.io/en/latest/format.html) - Unit Test - Put test code under "test/" directory - Can test by `python -m unittest <Your Test Code>` command - Continuous Integration on GitLab CI configured by `.gitlab-ci.yaml` - Open an issue and associate it to Merge Request Step by step instruction for beginners is described at [here](https://ymd_h.gitlab.io/b4tf/contributing/merge_request). # Links ## b4tf sites - [Project Site](https://ymd_h.gitlab.io/b4tf/) - [Class Reference](https://ymd_h.gitlab.io/b4tf/api/) - [Unit Test Coverage](https://ymd_h.gitlab.io/b4tf/coverage/) - [Main Repository](https://gitlab.com/ymd_h/b4tf) - [GitHub Mirror](https://github.com/ymd-h/b4tf) - [b4tf on PyPI](https://pypi.org/project/b4tf/) # Lisence 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.


نیازمندی

مقدار نام
>=2 tensorflow
- tensorflow-probability


نحوه نصب


نصب پکیج whl b4tf-1.1.2:

    pip install b4tf-1.1.2.whl


نصب پکیج tar.gz b4tf-1.1.2:

    pip install b4tf-1.1.2.tar.gz