A library for audio and music analysis, feature extraction.
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Updated
Apr 17, 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)
python_wavelet_digital_watermarking
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 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
Differentiable and gpu enabled fast wavelet transforms in JAX.
Time-scale phase-weighted stack software for seismic signal denoising
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