Slepian Scale-Discretised Wavelets in Python
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Updated
May 24, 2024 - Python
Slepian Scale-Discretised Wavelets in Python
Replication of the research paper : Catching the curl: Wavelet thresholding improves forward curve modelling
Wavelet transform helpers for GNU Octave
Wavelet scattering transforms in Python with GPU acceleration
PyWavelets - Wavelet Transforms in Python
Development version of the TrendLSW R package
A small Julia package to represent BioSequences as a Voss matrix
Implementation, use and possibly a little more about Alpert multiwavelets.
Designed a machine learning model to predict the diseases from the images of chest X-Ray comprising of 14 diseases using novel approaches like mobile net, efficient net and try to build upon it using some new approaches like federated learning and wavelets based techniques.
Differentiable and gpu enabled fast wavelet transforms in JAX.
Signal Processing Toolbox for Calcium Imaging Data
Useful tools for periodicity analysis in time series data.
Here are some notebooks for Pluto.jl.
wide array of continuous wavelet transforms using Julia
Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing
Neural oscillation event detection and analysis
Functional models and algorithms for sparse signal processing
Wavelets with JAX
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