Alternatives and similar repositories for GP_algorithm

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

• mariogrune / MEMD-Python-
  Python version of the Multivariate Empirical Mode Decomposition algorithm
  ☆74Updated 3 years ago
• MattWillFlood / EntropyHub
  An open-source toolkit for entropic data analysis.
  ☆164Updated 2 weeks ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆183Updated last year
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆43Updated 3 months ago
• danm0nster / mdembedding
  MATLAB code for estimating parameters for phase space reconstruction of multivariate data.
  ☆48Updated last year
• CSchoel / nolds
  Nonlinear measures for dynamical systems (based on one-dimensional time series)
  ☆283Updated 8 months ago
• Nonlinear-Analysis-Core / NONANLibrary
  This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional m…
  ☆44Updated 2 months ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆62Updated 7 years ago
• narayanps / NolinearTimeSeriesAnalysis
  The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping …
  ☆32Updated 4 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆89Updated 4 years ago
• mrosol / Nonlincausality
  Python package for Granger causality test with nonlinear forecasting methods.
  ☆82Updated last year
• hualouliang / CopulaGrangerCausality_ContinuousData
  Copula Granger causality for continuous time series
  ☆13Updated 8 years ago
• neurospin / pymultifracs
  Wavelet based multifractal analysis of 1D signals
  ☆33Updated 2 weeks ago
• nikdon / pyEntropy
  Entropy for Python
  ☆352Updated this week
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆103Updated last month
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 3 years ago
• MVRonkin / dsatools
  Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…
  ☆135Updated 2 years ago
• yunyueye / MVMD
  Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch
  ☆23Updated last year
• pistonly / modwtpy
  modwt in python
  ☆94Updated 2 years ago
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆58Updated 4 years ago
• tianyagk / PyEMD
  经验模态分解 (Empirical Mode Decomposition)
  ☆54Updated 5 years ago
• brian-lau / Granger
  Matlab code for frequency-domain Granger causality with significance testing
  ☆14Updated 10 years ago
• vrcarva / vmdpy
  Variational mode decomposition (VMD) in Python
  ☆376Updated last year
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆75Updated 2 years ago
• luphysics / MODA
  Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.
  ☆36Updated 4 years ago
• hsharrison / pypsr
  Phase-space reconstruction in Python.
  ☆31Updated 2 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆37Updated last year
• jcvasquezc / Corr_Dim
  Compute the Correlation Dimension of a Time Series
  ☆15Updated 9 years ago
• szhan / pyrqa
  Recurrence Quantification Analysis of Large-Scale Time Series
  ☆31Updated 2 years ago
• ermshaua / time-series-segmentation-benchmark
  This repository contains the time series segmentation benchmark (TSSB).
  ☆73Updated 2 months ago