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
  ☆102Updated 5 years ago
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆50Updated last year
• NinelK / CopulaGP
  Copula-GP model
  ☆16Updated 2 years ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 3 years ago
• SugiharaLab / pyEDM
  Python package of EDM tools
  ☆139Updated last week
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆47Updated 8 months ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 5 years ago
• mariogutierrezroig / smite
  Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
  ☆14Updated 7 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• angelikipapana / PTE-variants
  Estimation of Transfer Entropy, Partial Transfer Entropy and variants of Partial Transfer Entropy
  ☆15Updated 2 years ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆79Updated 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
• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆280Updated 2 weeks ago
• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆25Updated 7 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 10 months ago
• ThomasMBury / deep-early-warnings-pnas
  Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
  ☆61Updated 6 months ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆23Updated 4 months ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆50Updated last year
• bartbussmann / NAVAR
  ☆15Updated 2 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated 2 months ago
• hualouliang / CopulaGrangerCausality_ContinuousData
  Copula Granger causality for continuous time series
  ☆13Updated 8 years ago
• shlizee / TimeAwarePC
  A python package for finding causal functional connectivity from neural time series observations.
  ☆18Updated 5 months ago
• Shai128 / oqr
  Orthogonal Quantile Regression
  ☆12Updated 4 years ago
• pik-copan / pyunicorn
  Unified Complex Network and Recurrence Analysis Toolbox
  ☆217Updated this week
• gatsby-sahani / gp-sde
  ☆15Updated 2 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