POT : Python Optimal Transport
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Updated
May 27, 2024 - Python
POT : Python Optimal Transport
This is a preliminary implementation of an empirical mode decomposition algorithm in C#.
some misc tools for audio processing and etc.
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Rust Optimal Transport solvers
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
Progressive edge growth PEG for LDPC code and QC-LDPC construction C++, Python, Matlab PEG with ACE and Avoiding Generating Small Cycles
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
Comparison of visual odometry transformation reconstruction methods for optimal path estimates and localization using feature detection, description, matching and trajectory generation
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Simulated annealing lifting for high girth QC-LDPC include ACE/EMD optimization. Make QC-LDPC from protograph (base matrix)
Wire-cut CNC machine (EDM and stone). STM32 project for TrueStudio
Paper reproduction: Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia
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…
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
Julia interface for the Python Optimal Transport (POT) library
Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.
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