A library for audio and music analysis, feature extraction.
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Updated
May 24, 2024 - C
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.
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
2D discrete Wavelet Transform for Image Classification and Segmentation
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
python_wavelet_digital_watermarking
Python wrapper for CurveLab's 2D and 3D curvelet transforms
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'
Allows you to edit videos automatically
PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis" (DGM4MICCAI 2024)
Time-scale phase-weighted stack software for seismic signal denoising
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