Alternatives and similar repositories for kuramoto_model_integrate_and_plot

Users that are interested in kuramoto_model_integrate_and_plot are comparing it to the libraries listed below

• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆96Updated 2 years ago
• lostanlen / scattering.m
  Scattering.m — a MATLAB toolbox for wavelet scattering
  ☆58Updated 3 years ago
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆27Updated 3 years ago
• arnaudon / simplicial-kuramoto
  Tool to numerically solve and analyse simplicial Kuramoto models.
  ☆23Updated 2 years ago
• fabridamicelli / kuramoto
  Python implementation of the Kuramoto model
  ☆163Updated 2 months ago
• synergetics / spectrum
  Higher Order Spectrum Estimation toolkit
  ☆67Updated 6 months ago
• mwickert / 3D_Audio_Simulator
  Jupiter notebooks for 3D audio rendering into headphones using head related impulse response data sets.
  ☆11Updated 6 years ago
• pyphs / pyphs
  Modeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.
  ☆55Updated 3 years ago
• EtienneTho / musical-timbre-studies
  ☆11Updated 5 years ago
• cokelaer / spectrum
  Spectral Analysis in Python
  ☆361Updated 10 months ago
• TransylvanianInstituteOfNeuroscience / Superlets
  ☆97Updated 7 months ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• hukenovs / chaospy
  Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
  ☆97Updated last year
• aaren / wavelets
  Python implementation of the wavelet analysis found in Torrence and Compo (1998)
  ☆303Updated 4 years ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆141Updated 4 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆135Updated 4 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆138Updated 4 years ago
• gbarzon / jacobian_geometry
  Code supporting "Unraveling the mesoscale organization induced by network-driven processes", PNAS
  ☆12Updated last year
• thosvarley / OPyN
  A Python package for construction and analysis of ordinal partition networks from time-series data.
  ☆19Updated 9 months ago
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆30Updated 8 years ago
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆59Updated 4 years ago
• claudiodsf / stockwell
  Stockwell transform for Python
  ☆103Updated 11 months ago
• felixpatzelt / colorednoise
  Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
  ☆217Updated 2 years ago
• luphysics / MODA
  Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.
  ☆37Updated 5 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated last month
• john-hen / KDE-diffusion
  Kernel density estimation via diffusion in 1d and 2d.
  ☆17Updated 9 months ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated last year
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆186Updated last week
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• andrekovac / reservoir-persistent-memory
  Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
  ☆17Updated 4 years ago