Alternatives and similar repositories for jidt

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

• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆284Updated 3 weeks ago
• hddm-devs / hddm
  HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
  ☆297Updated last year
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆99Updated 5 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆116Updated 2 years ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆62Updated 8 years ago
• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆249Updated 3 months ago
• machenslab / dPCA
  An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
  ☆316Updated last month
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆128Updated 4 years ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆110Updated 2 years ago
• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆176Updated 2 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 4 years ago
• ComputationalPsychiatry / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆116Updated last week
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆55Updated 9 years ago
• mwshinn / PyDDM
  A drift-diffusion modeling (DDM) framework for Python
  ☆105Updated 3 months ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆104Updated last year
• mariomulansky / PySpike
  Python implementation of spike distance metrics
  ☆75Updated last year
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆86Updated this week
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆669Updated 8 months ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 3 years ago
• robince / partial-info-decomp
  Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
  ☆47Updated 2 years ago
• FeeLab / seqNMF
  An algorithm for unsupervised discovery of sequential structure
  ☆169Updated last year
• braindynamicslab / dyneusr
  Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
  ☆51Updated last month
• nipy / nitime
  Timeseries analysis for neuroscience data
  ☆256Updated last week
• lnccbrown / HSSM
  Development of HSSM package
  ☆106Updated this week
• cunni / ldr
  code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
  ☆28Updated 9 years ago
• Summer-MIND / mind_2019
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps
  ☆51Updated 5 years ago
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆41Updated 4 years ago
• brainets / frites
  Framework for Information Theoretical analysis of Electrophysiological data and Statistics
  ☆98Updated 8 months ago
• mackelab / poisson-gpfa
  Gaussian process factor analysis with Poisson observations
  ☆19Updated 3 years ago