Popular GitHub Repositories for Fractional Fourier Transfrom

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Learning in infinite dimension with neural operators.

Acceleration package for neural networks on multi-core CPUs

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform

Differentiable and accelerated spherical transforms with JAX

Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.

Fourier Dual Diffusion

This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Generating similiar results of convolution layers from Fast Fourier Transform

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.

Generating sound spectrograms using short-time Fourier transform that can be used for purposes such as sound classification by machine learning algorithms.

[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.

PyTorch implementation of FNet: Mixing Tokens with Fourier transforms

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

Fast, Native Non-Uniform Fast Fourier Transform for TensorFlow