Alternatives and similar repositories for methods-2-course

Users that are interested in methods-2-course are comparing it to the libraries listed below

• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆86Updated 2 years ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆251Updated last year
• vasishth / bayescogsci
  Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
  ☆99Updated 10 months ago
• lei-zhang / BayesCog_Wien
  Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
  ☆148Updated 4 years ago
• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆348Updated 7 months ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆40Updated last week
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 9 months ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated 3 months ago
• florence-bockting / elicito
  A python package for learning prior distributions based on expert knowledge
  ☆15Updated last month
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆89Updated 5 months ago
• DominiqueMakowski / CognitiveModels
  Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
  ☆13Updated last year
• nivlab / opendata
  This project has moved to https://github.com/nimh-dsst/OpenCogData
  ☆25Updated 2 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆47Updated last year
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆249Updated 3 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆98Updated 6 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆37Updated last year
• CCS-Lab / hBayesDM
  Hierarchical Bayesian modeling of RLDM tasks, using R & Python
  ☆248Updated last week
• drbenvincent / bayesian2afc
  Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.
  ☆14Updated 8 years ago
• nchopin / py-smc2
  Automatically exported from code.google.com/p/py-smc2
  ☆14Updated 10 years ago
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆55Updated last year
• bayesflow-org / Neural-Superstatistics
  Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…
  ☆12Updated 2 years ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆106Updated 3 weeks ago
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆49Updated 5 months ago
• stan-dev / example-models
  Example models for Stan
  ☆787Updated 2 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• rmcelreath / stat_rethinking_2026
  Statistical Rethinking Course 2026
  ☆81Updated 2 weeks ago
• lionel-rigoux / tutorial-bayesian-inference
  A collection of simple implementation of various inference methods
  ☆49Updated 3 years ago
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆322Updated 2 years ago
• Lakens / statistical_inferences
  Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
  ☆297Updated 2 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆50Updated last year