POT : Python Optimal Transport

A Python library for signal decomposition algorithms

Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.

Class to filter EEG artifacts using WPT, ICA and EMD

Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547

Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.

Spectral Data Processing (EMD and Wavelet)

This python binding for run CUDA kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

Empirical Mode Decomposition

MA-EMD: Aligned Empirical Decomposition for Multivariate Time-Series Forecasting

🦾 Detect hand movements using EMG signals with EMD-CCT feature extraction and a Transformer model for accurate gesture classification.

This python binding for run OpenCL kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

This Server.py and Client.py can provide send job to multiple GPU Server to run SFEGO in GPU which can make better throughput.

A Pytorch wrapper for Earth-Mover-Distance (EMD) CUDA Extension

EMG-Based Hand Movement Detection using EMD-CCT feature extraction with a Transformer model.

Python toolbox for the Hilbert-Huang transform