Metadata-Version: 2.1
Name: b4tf
Version: 0.0.11
Summary: Bayian Neural Network for TensorFlow
Home-page: https://gitlab.com/ymd_h/b4tf
Author: Hiroyuki Yamada
License: UNKNOWN
Description: ![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/)
        
        
        # 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
        -   [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 implements
        more.
        
        -   Probabilistic Backpropagation (PBP) ([Paper](https://arxiv.org/abs/1502.05336))
        
        
        # 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.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
