tensorflow-scientific 0.2.0.dev0
Scientific modeling in TensorFlow
License: Apache 2.0
Keywords: tensorflow,scientific

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

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<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>
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[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>
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**WORK IN PROGRESS**



<h2 align="center">Upcoming Releases</h2>
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: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>
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- 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>
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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.