A library for audio and music analysis, feature extraction.
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Mar 6, 2026 - C
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A library for audio and music analysis, feature extraction.
audio python music machine-learning deep-learning signal-processing audio-features audio-analysis music-information-retrieval spectrogram mfcc pitch mir spectral-analysis music-analysis audio-processing wavelet-analysis wavelet-transform time-frequency-analysis
PyWavelets - Wavelet Transforms in Python
Use unsupervised and supervised learning to predict stocks
python machine-learning artificial-intelligence lstm yahoo-finance-api stock-price-prediction autoencoder artificial-neural-networks trading-strategies quantitative-finance algorithmic-trading wavelet-transform
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
visualization python signal-processing stft time-frequency synchrosqueezing wavelet-transform cwt time-frequency-analysis morse-wavelet ridge-extraction
Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.
matlab image-processing video-processing java-8 haze-removal guidedfilter laplacian-pyramid dark-channel-prior underwater-image retinex dt-cwt backscatter opencv-java denoise image-enhancement wavelet-transform gaussian-pyramid color-balance
[JMLR] Differentiable fast wavelet transforms in PyTorch with GPU support.
pytorch wavelet wavelet-packets wavelet-analysis wavelet-transform fast-wavelet-transform matrix-fwt
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
在线前端频谱分析扒谱 front-end music transcription
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.
mathematics design-patterns hilbert software-engineering wavelet frequency-domain frequency-analysis wavelet-tree wavelet-packets hilbert-spaces wavelet-toolbox orthogonal wavelet-analysis wavelet-decomposition hilbert-transform wavelet-transform wavelet-compression orthogonal-transforms wavelet-transform-algorithm orthonormal
[DGM4MICCAI'24, Oral] 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
spatio-temporal intelligent-transportation-systems wavelet-transform graph-wavelets time-series-forecasting graph-attention-networks urban-computing graph-neural-networks traffic-forecasting graph-transformer icde2023 traffic-forcasting
[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
computer-vision generative-adversarial-network gan super-resolution wavelet-transform adversarial-training artifact-reduction super-resolution-image
2D discrete Wavelet Transform for Image Classification and Segmentation
efficient linear image-classification attention semantic-segmentation wavelet-transform token-mixing
Python wrapper for CurveLab's 2D and 3D curvelet transforms
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)
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