Alternatives and similar repositories for PTE-variants

Users that are interested in PTE-variants are comparing it to the libraries listed below

• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆228Updated 4 years ago
• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆24Updated 7 years ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 5 years ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 3 years ago
• ziyujia / PMIME-and-TE
  Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer ent…
  ☆13Updated 5 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated 11 months ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆23Updated 3 months ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• taotu / VBLDS_Connectivity_EEG_fMRI
  ☆14Updated 5 years ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆61Updated 7 years ago
• tjiagoM / spatio-temporal-brain
  A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
  ☆51Updated 3 years ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆77Updated 2 years ago
• montaltoalessandro / MuTE
  ☆11Updated 7 years ago
• alien18 / GCN_SCZ_Classification
  ☆11Updated 3 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆50Updated last year
• distributed-information-bottleneck / distributed-information-bottleneck.github.io
  A repository for using the distributed information bottleneck to locate information in data
  ☆17Updated last year
• pmediano / ReconcilingEmergences
  Measures of causal emergence from multivariate time series data.
  ☆28Updated 3 years ago
• shaozhefeng / RNN-GC
  ☆12Updated 6 years ago
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 2 years ago
• elgazzarr / fMRIGNNs
  Benchmarking GNNs for fMRI analysis
  ☆25Updated 2 years ago
• xuefeicao / cdn
  Causal Dynamic Network Modeling
  ☆14Updated 6 years ago
• Eden-Kramer-Lab / dppm
  Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM
  ☆13Updated 4 years ago
• SCXsunchenxi / ISMTS-Review
  ☆26Updated last year
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆100Updated 3 years ago
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆32Updated last year
• nomcomm / BrainConnectivitySocialNetwork_PNAS
  Analysis code for Schmaelzle, O'Donnell et al. (2017) PNAS
  ☆11Updated 8 years ago
• egyptdj / stagin
  STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
  ☆99Updated 2 years ago
• joanrue / pydynet
  Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics
  ☆13Updated 4 years ago
• DurstewitzLab / dendPLRNN
  ☆21Updated last year