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

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

[JMLR] Differentiable fast wavelet transforms in PyTorch with GPU support.

[DGM4MICCAI'24] PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis"

[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

python_wavelet_digital_watermarking

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

[CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution

Official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)

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'

Official implementation for "SimpleTM: A Simple Baseline For Multivariate Time Series Forcasting" (ICLR 2025)

Differentiable and gpu enabled fast wavelet transforms in JAX.

Allows you to edit videos automatically

Image fusion using Discrete Wavelet Transformation

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.