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GitHub / BystrickyK / SINDy

Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BystrickyK%2FSINDy
PURL: pkg:github/BystrickyK/SINDy

Stars: 6
Forks: 0
Open issues: 9

License: mit
Language: Python
Size: 636 MB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: over 2 years ago
Pushed at: almost 4 years ago
Last synced at: about 2 years ago

Topics: candidate-functions, coefficients, dynamical, equations, fft, machine-learning, model, model-discovery, numerical-differentiation, numerical-methods, simulation-data, sindy, sparse-modeling, sparse-regression, spectral-difference, spectral-filtering, spectral-methods, system-identification

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