mrphys/tensorflow-nufft

Fast, Native Non-Uniform Fast Fourier Transform for TensorFlow

47
/ 100
Emerging

This is a developer tool for machine learning engineers and researchers working with TensorFlow. It provides a highly optimized way to perform Non-Uniform Fast Fourier Transforms (NUFFT) directly within TensorFlow workflows. You input non-uniform spatial or temporal data and get back its frequency domain representation, enabling faster processing for complex signal and image analysis tasks.

Used by 1 other package. No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning engineer or researcher building models in TensorFlow that require efficient Non-Uniform Fast Fourier Transforms for signal processing or image reconstruction.

Not ideal if you are not already using TensorFlow or do not need to perform NUFFTs.

signal-processing image-reconstruction scientific-computing machine-learning-engineering research-and-development
Stale 6m
Maintenance 2 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 13 / 25

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Stars

24

Forks

4

Language

C++

License

Apache-2.0

Last pushed

Sep 22, 2025

Commits (30d)

0

Dependencies

3

Reverse dependents

1

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