Differentiable fast wavelet transforms in PyTorch with GPU support.
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
COVID-19 Coughs files for training AI models
A PyTorch-based package built for graph signal processing(especially critical-sampling graph wavelet analysis).
Machine learning for Anonymous detection of an alcoholic by EEG signals
Wavelets with JAX
Python library for scale-based spatial analysis
Diffusion model for time series generation and time series decomposition through wavelet transform. Implementation of progressive distillation on the trained models for lower sampling time
package for wavelet analysis of non stationary spectral characteristics of timeseries data.
Fourier and wavelet analysis 👽
Trabalho de conclusão de curso na área de reconhecimento facial com análise de funções wavelet discretas.
Python helper for computing and visualising the Continuous Wavelet Transform (CWT) on 1-D signals such as audio waveforms. And for computing the Haar Wavelet Transform in regards to Neural Network Compression and inference after compression. Powered by NumPy · SciPy · PyWavelets · Matplotlib · Torch · Transformers.
The Python module that used to measure the environment-dependent Wavelet Power Spectrum (env-WPS) of the cosmic density field.
Implements a hybrid wavelet approach for streamflow forecasting, offering improved accuracy through combined time-frequency analysis.
Python package of wavelet transform with new features
Wavelet Scattering Transform applied for Geo Sciences.
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