POT : Python Optimal Transport
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Updated
May 28, 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…
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Go directly from an event storming to a working API: Event Markdown / Markup validation & NodeJS CQRS/ES application builder.
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
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.
EMD(Empirical Mode decomposition) light weight library, C/C++ language
Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.
Variational Optimal Transportation
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