Metadata-Version: 2.1
Name: tensorflow-scientific
Version: 0.2.0.dev0
Summary: Scientific modeling in TensorFlow
Home-page: https://github.com/mukeshmithrakumar/scientific
Author: Mukesh Mithrakumar
Author-email: mukesh@mukeshmithrakumar.com
License: Apache 2.0
Project-URL: Source, https://github.com/mukeshmithrakumar/scientific
Keywords: tensorflow,scientific
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
Requires-Dist: six (>=1.10.0)
Requires-Dist: tensorflow (==2.0.0-beta0)

<p align="center"><img width="90%" src="https://raw.githubusercontent.com/mukeshmithrakumar/scientific/master/logo/tfs.png" /></p>

<h1 id="TensorflowScientific" align="center" >Tensorflow Scientific</h1>

<p align="center">
    <a href="https://www.tensorflow.org/beta">
    <img src="https://img.shields.io/badge/Tensorflow-2.0-orange.svg" alt="Tensorflow 2.0">
    </a>
    <a href="https://travis-ci.com/mukeshmithrakumar/scientific.svg?branch=master">
    <img src="https://travis-ci.com/mukeshmithrakumar/scientific.svg?branch=master" alt="Build Status">
    </a>
    <a href="https://pypi.org/project/tensorflow-scientific/">
    <img src="https://badge.fury.io/py/tensorflow-scientific.svg" alt="PyPI Status Badge">
    </a>
    <a href="https://pypi.python.org/pypi/tensorflow-scientific/">
    <img src="https://img.shields.io/pypi/pyversions/tensorflow-scientific.svg" alt="PyPI pyversions">
    </a>
    <a href="https://www.codacy.com/app/mukesh_4/scientific?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=mukeshmithrakumar/scientific&amp;utm_campaign=Badge_Grade"><img src="https://api.codacy.com/project/badge/Grade/eb5acb88325245e9b7265da0c4f11db8"/>
    </a>
    <a href='https://coveralls.io/github/mukeshmithrakumar/scientific?branch=master'><img src='https://coveralls.io/repos/github/mukeshmithrakumar/scientific/badge.svg?branch=master' alt='Coverage Status'/>
    </a>
</p>


<h2 align="center">Introduction</h2>

TensorFlow Scientific (TFS) is a Python library built on TensorFlow for scientific computing.
TensorFlow Scientific contains modules for integration, ODE solvers and other tasks common in science and engineering.


<h2 align="center">Installation</h2>

**WORK IN PROGRESS**


<h2 align="center">Subpackages</h2>
<p align="right"><a href="#TensorflowScientific"><sup>â–´ Back to top</sup></a></p>

[tfs.integrate](tensorflow_scientific/integrate/README.md)

- tfs.integrate.odeint
- tfs.integrate.odeint_fixed

[tfs.solvers](tensorflow_scientific/solvers/README.md)

- Functionality:

[tfs.quantum](tensorflow_scientific/quantum/README.md)

- Functionality:



<h2 align="center">Examples</h2>
<p align="right"><a href="#TensorflowScientific"><sup>â–´ Back to top</sup></a></p>


**WORK IN PROGRESS**



<h2 align="center">Upcoming Releases</h2>
<p align="right"><a href="#TensorflowScientific"><sup>â–´ Back to top</sup></a></p>


:fire: 0.1.0 Developer Alpha

- tfs.integrate

:fire: 0.2.0 Developer Alpha

- tfs.solvers

:fire: 0.3.0 Developer Alpha

- tfs.quantum



<h2 align="center">TO DO</h2>
<p align="right"><a href="#TensorflowScientific"><sup>â–´ Back to top</sup></a></p>

- Pypi package badges
- Official builds badges
- Issue tracking badges
- code quality badges
- code coverage badges
- Add development environment to contributing.md
- Add code contributing to contributing.md
- Add Contributor License Agreement to contributing.md
- Add some examples



<h2 align="center">FAQ</h2>
<p align="right"><a href="#TensorflowScientific"><sup>â–´ Back to top</sup></a></p>

Q1. How do I contribute?

TF-Scientific is a community led open source project. As such, the project
depends on public contributions, bug-fixes, and documentation. Please
see [contribution guidelines](CONTRIBUTING.md) for a guide on how to
contribute. This project adheres to [TensorFlow's code of conduct](CODE_OF_CONDUCT.md).
By participating, you are expected to uphold this code.


