POT : Python Optimal Transport
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Updated
Sep 4, 2024 - Python
POT : Python Optimal Transport
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
Signal processing method and algorithm library
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mod…
Go directly from an event storming to a working API: Event Markdown / Markup validation & NodeJS CQRS/ES application builder.
Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
EMD(Empirical Mode decomposition) light weight library, C/C++ language
Progressive edge growth PEG for LDPC code and QC-LDPC construction C++, Python, Matlab PEG with ACE and Avoiding Generating Small Cycles
Simulated annealing lifting for high girth QC-LDPC include ACE/EMD optimization. Make QC-LDPC from protograph (base matrix)
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
Paper reproduction: Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
Variational Optimal Transportation
Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning
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