SOTA Black-box optimization (Python and JS) without the baggage
Framework of intelligent optimization methods iOpt
Feature Selection using Simulated Annealing
Ultra fast simulated annealing with OpenCL & multiple accelerators, GPUs, CPUs.
Unknown function approximation, given input-output measurements, using Genetic Algorithm
Python toolkit for electrochemical impedance spectroscopy (EIS) analysis featuring Distribution of Relaxation Times (DRT), Kramers-Kronig validation, equivalent circuit fitting, and automatic parameter optimization. Usable as CLI and Python library.
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