interpolation-higher-order-3d-torch

Name	interpolation-higher-order-3d-torch JSON
Version	0.1.1 JSON
	download
home_page
Summary	A highly performant, GPU compatible package for higher order interpolation in PyTorch
upload_time	2024-02-09 23:46:38
maintainer
docs_url	None
author	ThomasHelfer
requires_python	>=3.8
license	MIT
keywords	machine learning pytorch interpolation higher order interpolation 3d interpolation gpu compatible
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            ![Unittest](https://github.com/ThomasHelfer/HigherOrderInterpolation3DTorch/actions/workflows/actions.yml/badge.svg)
[![License: MIT](https://img.shields.io/badge/License-MIT-red.svg)](https://opensource.org/licenses/MIT)


# Higher Order Interpolation in 3D for Torch

## Overview
This is a small library that allows a more general interpolation in 3D, using higher order polynomial basis, which Pytorch's [torch.nn.functional.interpolate()](https://pytorch.org/docs/stable/generated/torch.ao.nn.quantized.functional.interpolate.html) currently does not offer. 

## Key Features:

Accurate and efficient:
- Achieve high-order polynomial interpolation with exceptional performance using a convolutional network architecture, ensuring precise results for your simulations.

## Installation

### Prerequisites
Before installing TorchGRTL, ensure you have the following prerequisites:
- Python 3.8 or higher
- pip package manager


### License

TorchGRTL is released under the MIT License. See LICENSE for more details.

### Contact

For questions or support, please contact Thomas Helfer at thomashelfer@live.de.

            

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