A library for audio and music analysis, feature extraction.

PyWavelets - Wavelet Transforms in Python

Use unsupervised and supervised learning to predict stocks

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

Differentiable fast wavelet transforms in PyTorch with GPU support.

The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis" (DGM4MICCAI 2024)

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

2D discrete Wavelet Transform for Image Classification and Segmentation

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Python wrapper for CurveLab's 2D and 3D curvelet transforms

python_wavelet_digital_watermarking

SJTU CS386 Digital Image Processing

This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'

[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.