Tensorflow Scientific

Introduction

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.

Installation

WORK IN PROGRESS

Subpackages

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tfs.integrate

• tfs.integrate.odeint
• tfs.integrate.odeint_fixed

tfs.solvers

• Functionality:

tfs.quantum

• Functionality:

Examples

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WORK IN PROGRESS

Upcoming Releases

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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

TO DO

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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

FAQ

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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 for a guide on how to contribute. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.