PyWavelets - Wavelet Transforms in Python
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Updated
Sep 1, 2025 - Python
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)
Differentiable fast wavelet transforms in PyTorch with GPU support.
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
2D discrete Wavelet Transform for Image Classification and Segmentation
[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
python_wavelet_digital_watermarking
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 of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)
Allows you to edit videos automatically
[ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
Differentiable and gpu enabled fast wavelet transforms in JAX.
[CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
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.
Wavelet-based ECG delineator library implemented in python
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