semvec/pypi-packages huggingface dataset:
interpolation-higher-order-3d-torch 0.1.1
A highly performant, GPU compatible package for higher order interpolation in PyTorch
License: MIT
Requires Python: >=3.8
Keywords: Machine learning,Pytorch,Interpolation,Higher order interpolation,3D interpolation,GPU compatible

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# 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.