Alternatives and similar repositories for pyentropy

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

• compmem / ptsa
  Python Time Series Analysis (PTSA, pronounced "pizza")
  ☆41Updated 8 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• hstrey / Ornstein-Uhlenbeck-Bayesian
  ☆18Updated 5 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• nirum / jetplot
  🔋 Utilities for scientific python
  ☆19Updated 2 weeks ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• mattjj / pyhsmm-autoregressive
  autoregressive plugin
  ☆27Updated 2 years ago
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆29Updated 4 years ago
• pierreablin / picard
  Preconditioned ICA for Real Data
  ☆108Updated 6 months ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆126Updated 4 years ago
• dokato / dfa
  Detrended Fluctuation Analysis
  ☆63Updated 4 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 9 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆27Updated 9 years ago
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆29Updated 8 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆19Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• pierrebaudot / INFOTOPO
  Programs for Information Topology Data Analysis
  ☆12Updated 4 years ago
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆89Updated 4 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆53Updated 5 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆2Updated 8 years ago
• olivercliff / assessing-linear-dependence
  A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
  ☆17Updated 3 years ago
• Naereen / Lempel-Ziv_Complexity
  Lempel-Ziv Complexity, fast implementations with Python (naive, Numba or Cython for speedup), Open-Source (MIT) :+1: →
  ☆35Updated 4 years ago
• swkeemink / takens-embed
  Using the Taken's embedding theorem to estimate the causality between variables. Based on Sugihara et al (2012) - Detecting Causality in …
  ☆11Updated 7 years ago
• ContextLab / seqnmf
  An algorithm for unsupervised discovery of sequential structure
  ☆26Updated 6 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago
• hddm-devs / kabuki
  Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.
  ☆72Updated 2 years ago