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Scientific modeling in TensorFlow

Project description

Tensorflow Scientific

Tensorflow 2.0 Build Status PyPI Status Badge PyPI pyversions Coverage Status

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.

Project details


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