Statistical Machine Intelligence & Learning Engine
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Updated
Jul 16, 2024 - Java
Statistical Machine Intelligence & Learning Engine
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
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.
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.
Differentiable fast wavelet transforms in PyTorch with GPU support.
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
A Julia package for fast discrete wavelet transforms and utilities
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.
Write WebAssembly smart contracts for Wavelet in Rust.
Wavelet CNN, Texture Classification in Keras
A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.
Complex Continuous Wavelet Transform
Motor Imagery EEG signal Classification on DWT
Python implementation of Typhoon algorithm: dense estimation of 2D-3D optical flow on wavelet bases.
Weighted Wavelet Z-Transform Code for Python
EKG Analysis code for the MI3 intern group at CHOC Children's
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