Scientific modeling in TensorFlow
Project description
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
- tfs.integrate.odeint
- tfs.integrate.odeint_fixed
- Functionality:
- Functionality:
Examples
WORK IN PROGRESS
Upcoming Releases
: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
- 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
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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Source Distribution
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