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
• hijoe320 / MVGC
  A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox
  ☆23Updated 7 years ago
• hualouliang / CopulaGrangerCausality_ContinuousData
  Copula Granger causality for continuous time series
  ☆13Updated 8 years ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆38Updated 3 years ago
• ruteee / TransferEntropy
  Python Implementation of Transfer Entropy Method
  ☆27Updated 4 years ago
• lcdm-uiuc / PyIF
  An open source implementation to compute bi-variate Transfer Entropy.
  ☆30Updated 4 years ago
• 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
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 4 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated 10 months ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆77Updated 2 years ago
• bartbussmann / NAVAR
  ☆14Updated 2 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
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• RRRussell / MTPool
  ☆14Updated 3 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆223Updated 4 years ago
• riccardosilini / pTE
  pseudo transfer entropy
  ☆15Updated 3 years ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆61Updated 7 years ago
• Large-scale-causality-inference / Large-scale-nonlinear-causality
  Code for Nature paper, causality of nodal time-series observations.
  ☆10Updated last year
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 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…
  ☆17Updated 5 years ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆105Updated 2 weeks ago
• ruteee / DetectionCausalRelationshipsTimeSeries
  Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"
  ☆16Updated 3 years ago
• nikdon / pyEntropy
  Entropy for Python
  ☆354Updated 3 weeks ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆187Updated last year
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆49Updated last year
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆101Updated 4 years ago