pwollstadt / IDTxlLinks
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
☆267Updated 2 months ago
Alternatives and similar repositories for IDTxl
Users that are interested in IDTxl are comparing it to the libraries listed below
Sorting:
- JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems☆271Updated last month
- An open source implementation to compute bi-variate Transfer Entropy.☆30Updated 4 years ago
- Comparative analysis of pairwise interactions in multivariate time series.☆229Updated last month
- Python package of EDM tools☆131Updated last month
- Open-Source MATLAB toolbox for transfer entropy estimation☆61Updated 7 years ago
- Convergent Cross Mapping in Scikit Learn's style☆98Updated 5 years ago
- Framework for Information Theoretical analysis of Electrophysiological data and Statistics☆91Updated last month
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆171Updated last year
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Temporal Network Tools☆85Updated last year
- A drift-diffusion modeling (DDM) framework for Python☆94Updated this week
- A Python Wrapper for the Inform Information Analysis Library☆52Updated 5 years ago
- ☆12Updated 3 years ago
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆89Updated 4 years ago
- Python package for information theory.☆541Updated last month
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆82Updated 10 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Bayesian learning and inference for state space models☆628Updated last month
- Highly Comparative Graph Analysis - Code for network phenotyping☆46Updated last year
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆73Updated 4 months ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- AntroPy: entropy and complexity of (EEG) time-series in Python☆325Updated 4 months ago
- Granger causality discovery for neural networks.☆219Updated 4 years ago
- Just-in-time compilation for delay differential equations☆57Updated last month
- Python implementation of the Kuramoto model☆150Updated last year
- A library for network {reconstruction, distances, dynamics}☆170Updated 2 years ago
- HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).☆280Updated last year
- A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox☆23Updated 7 years ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆298Updated 3 years ago
- Granger Causality library in python☆38Updated 3 years ago