Differentiable fast wavelet transforms in PyTorch with GPU support.
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Updated
Jun 7, 2024 - Python
Differentiable fast wavelet transforms in PyTorch with GPU support.
Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.
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.
An experiment for building gateware for the axiom micro / beta using amaranth-hdl
Code to partially reproduce results in "Unearthing InSights into Mars: Unsupervised source separation with limited data", ICML 2023
Python package undouble is to detect (near-)identical images.
[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
A wavelet audio denoiser done in python
An implementation of the stationary wavelet packet transform on top of PyWavelets
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
Python library for scale-based spatial analysis
Python implementation of Typhoon algorithm: dense estimation of 2D-3D optical flow on wavelet bases.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Python package for analyzing A-DInSAR time series.
Sliding Filter for AWGN Denoising
A highly parallel and fast event detector based on CWT transform.
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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