Alternatives and similar repositories for smite

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

• marcbrittain / Transfer_Entropy
  ☆12Updated 6 years ago
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆46Updated 6 months ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 3 years ago
• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆23Updated 7 years ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 4 years ago
• lcdm-uiuc / PyIF
  An open source implementation to compute bi-variate Transfer Entropy.
  ☆30Updated 4 years ago
• ruteee / TransferEntropy
  Python Implementation of Transfer Entropy Method
  ☆27Updated 4 years ago
• hualouliang / CopulaGrangerCausality_ContinuousData
  Copula Granger causality for continuous time series
  ☆13Updated 8 years ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆77Updated 2 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated last year
• OminiaVincit / delay-variant-embed
  Analysis code for "Topological Time-series Analysis with Delay-variant Embedding" Manuscript.
  ☆11Updated 5 years ago
• i6092467 / NNGC-SLIMMBA
  Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry
  ☆15Updated 3 years ago
• bartbussmann / NAVAR
  ☆14Updated 2 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated 10 months ago
• RRRussell / MTPool
  ☆14Updated 3 years ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆225Updated 4 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• SamirMoustafa / Time-Series-Classification
  The official implementation for the paper R.Castro, S.Moustafa, P.Pilyugina, E.Burnaev "Topologically-based Variational Autoencoder for T…
  ☆18Updated 5 years ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆105Updated last week
• Large-scale-causality-inference / Large-scale-nonlinear-causality
  Code for Nature paper, causality of nodal time-series observations.
  ☆10Updated last year
• benibaeumle / Learning-Shapelets
  A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
  ☆60Updated 3 years ago
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆103Updated 4 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆16Updated last year
• nikdon / pyEntropy
  Entropy for Python
  ☆355Updated this week
• shlizee / TimeAwarePC
  A python package for finding causal functional connectivity from neural time series observations.
  ☆18Updated 3 months ago
• yangysc / Wavelet-HFCM
  This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…
  ☆55Updated 3 years ago
• edouardpineau / Seq2VAR-multivariate-time-series-representation-learning
  Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive mod…
  ☆11Updated 4 years ago