Alternatives and similar repositories for xmap

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

• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆101Updated 5 years ago
• SugiharaLab / pyEDM
  Python package of EDM tools
  ☆142Updated 2 months ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 4 years ago
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆52Updated 2 years 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
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆88Updated 2 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆51Updated 11 months ago
• lcdm-uiuc / PyIF
  An open source implementation to compute bi-variate Transfer Entropy.
  ☆31Updated 4 years ago
• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆289Updated last month
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 5 years ago
• marcbrittain / Transfer_Entropy
  ☆12Updated 7 years ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆35Updated 5 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆24Updated 7 months ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆62Updated 8 years ago
• distributed-information-bottleneck / distributed-information-bottleneck.github.io
  A repository for using the distributed information bottleneck to locate information in data
  ☆17Updated last year
• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆25Updated 7 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆51Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year
• mariogutierrezroig / smite
  Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
  ☆14Updated 7 years ago
• Shai128 / oqr
  Orthogonal Quantile Regression
  ☆12Updated 4 years ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆80Updated 2 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated last year
• NinelK / CopulaGP
  Copula-GP model
  ☆16Updated 2 years ago
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆30Updated 5 years ago
• shlizee / TimeAwarePC
  A python package for finding causal functional connectivity from neural time series observations.
  ☆19Updated 8 months ago
• pik-copan / pyunicorn
  Unified Complex Network and Recurrence Analysis Toolbox
  ☆222Updated 2 weeks ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated 2 months ago
• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 5 years ago