Chaos Theory Python Packages

mechanicsdsl-core

A Domain-Specific Language and Transpiler for Classical Mechanics

829 3 0

pyzeta

Numerical project written (mostly) in Python that is all about (dynamical) zeta functions and their application to the calculation of (quantum and classical) resonances.

599 1 3

tsa-course

Book and material for the course "Time series analysis with Python" (STA-2003)

505 267 57

hundun

🦋 hundun is a python library for the exploration of chaos.

390 13 1

chaos-intelligence

A Layer API built on top of `tensorflow.keras` Functional API. Allows application of chaos theory deterministic functions to neural networks.

244 0 0

frequency-max-power

A Python library for calculating frequency_max_power

192 37 10

lorenzpy

A Python package to simulate and measure chaotic dynamical systems.

120 0 1

stftsignal

A Python library for calculating Short-Time Fourier Transform

111 37 10

spectral-edge-density

A Python library for calculating spectral_edge_density

109 37 10

spectral-centroids

A Python library for calculating spectral_centroids

109 37 10

pattingalloang

JAX-accelerated Python library for simulating and analyzing the Aizawa strange attractor with comprehensive chaos metrics.

103 0 0

mfdfa1000hz

A Python library for calculating MFDFA for 1000hz

72 37 10

spectral-entropy-signals

A Python library for calculating spectral entropy

70 37 10

phase-space-2d

A Python library for calculating and plotting phase space

70 37 10

transfer-entropy-regional

A Python library for calculating transfer_entropy_regional

69 37 10

phase-space-3d

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

69 37 10

transfer-entropy-all-signals

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

63 37 10

welchspsd

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

61 37 10

transfer-entropy-hemispheric

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

59 37 10

lyapynov

Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.

52 29 6

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