Alternatives and similar repositories for DGM

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

• lei-zhang / BayesCog_v0.2
  ☆20Updated 6 years ago
• tmiasko / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆12Updated 5 years ago
• ucl-pond / kde_ebm
  Newer version of the KDEEBM code
  ☆10Updated 6 months ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 7 years ago
• practical-neuroimaging / pna2015
  Exercises for 2015 Berkeley practical neuroimaging class
  ☆26Updated 9 years ago
• EoinTravers / Evidently
  Simulate Evidence Accumulation Models in Python
  ☆23Updated 3 years ago
• DynamicsAndNeuralSystems / pyspi_tmp
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆13Updated last year
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 9 months ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆19Updated last year
• raamana / confounds
  Conquering confounds and covariates: methods, library and guidance
  ☆38Updated last year
• ClaraHapp / MFPCA
  Multivariate Functional Principal Component Analysis
  ☆32Updated 2 years ago
• DCAN-Labs / functional-random-forest
  Functional Analysis with Random Forests
  ☆20Updated last year
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆56Updated 3 months ago
• Summer-MIND / mind-tools
  Docker container prebuilt with python tools for demos and workshops
  ☆15Updated 6 years ago
• tractor / tractor
  Magnetic resonance imaging and tractography with R
  ☆28Updated this week
• elisabaek / social_network_analysis_tutorial
  ☆12Updated 5 years ago
• GRousselet / blog
  code and data for posts from https://garstats.wordpress.com
  ☆45Updated last year
• MicheleNuijten / BayesMed
  Default Bayesian hypothesis tests for correlation, partial correlation, and mediation
  ☆11Updated 5 years ago
• olivercliff / assessing-linear-dependence
  A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
  ☆17Updated 3 years ago
• poldracklab / poldracklab-learning
  Tutorials for learning imaging analysis (and other things), typically in ipython Notebook or R Markdown
  ☆13Updated 10 years ago
• mike-lawrence / hgpr
  Hierarchical Gaussian process regression example
  ☆8Updated 7 years ago
• luisdamiano / stancon18
  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
  ☆31Updated 7 years ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆43Updated 6 years ago
• CCS-Lab / easyml
  A toolkit for easily building and evaluating machine learning models.
  ☆40Updated 2 years ago
• lei-zhang / BayesCog_Part2
  Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).
  ☆10Updated last year
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆30Updated 4 years ago
• laurafontanesi / rlssm
  Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
  ☆31Updated last year
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆15Updated 8 years ago