POT : Python Optimal Transport

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

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

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

Class to filter EEG artifacts using WPT, ICA and EMD

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

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.

Python toolbox for the Hilbert-Huang transform