Alternatives and similar repositories for PTE-variants

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

• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆25Updated 7 years ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆35Updated 5 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated last year
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 4 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆24Updated 6 months ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆234Updated 4 years ago
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 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
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 3 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆62Updated 8 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
• danm0nster / xmap
  Convergent Cross-Mapping
  ☆21Updated 7 years ago
• plcrodrigues / RPA
  Python code for the Riemannian Procrustes Analysis (RPA) method
  ☆49Updated last year
• DurstewitzLab / dendPLRNN
  ☆22Updated last year
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆104Updated 3 years ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆52Updated 2 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago
• alien18 / GCN_SCZ_Classification
  ☆12Updated 3 years ago
• hualouliang / CopulaGrangerCausality_ContinuousData
  Copula Granger causality for continuous time series
  ☆12Updated 8 years ago
• taotu / VBLDS_Connectivity_EEG_fMRI
  ☆15Updated 6 years ago
• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆286Updated last month
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆79Updated 2 years ago
• marcbrittain / Transfer_Entropy
  ☆12Updated 7 years ago
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆50Updated 10 months ago
• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆249Updated 4 months ago
• michal-nahlik / neurips-beetl-2021
  NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding
  ☆13Updated 4 years ago
• pmediano / ReconcilingEmergences
  Measures of causal emergence from multivariate time series data.
  ☆30Updated 3 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated 2 months ago