Alternatives and similar repositories for demos

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

• heike / stat590f
  Topics in statistical computing @ ISU
  ☆18Updated 10 years ago
• joehuchette / OR-software-tools-2015
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆19Updated 10 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 8 years ago
• dmbates / JuliaWorkshop
  Materials for a workshop on Julia programming at UW-Madison Statistics Dept. in June 2014
  ☆31Updated 6 years ago
• nealbob / econlearn
  A machine learning toolkit for economists
  ☆18Updated 10 years ago
• davidbarber / Julia0p6ProbabilisticInferenceEngine
  Basic probability manipulation routines for discrete variables
  ☆29Updated 8 years ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 12 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• IainNZ / ORSoftwareTools2014
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆25Updated 11 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆13Updated 8 years ago
• tszanalytics / BayesTesting.jl
  ☆15Updated 6 years ago
• dlab-berkeley / python-for-everything
  Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab
  ☆73Updated 8 years ago
• madeleineudell / intro-to-julia
  Intro to Julia for Scientific Software Club at Cornell
  ☆20Updated 8 years ago
• khakieconomics / StanEcon
  Discussion for Stan for economists
  ☆10Updated 9 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 8 months ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• setzler / JuliaEconomics
  Tutorial Scripts for JuliaEconomics.com
  ☆66Updated 9 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 8 years ago
• Emaasit / meetups
  Presentations from meetups and conferences
  ☆18Updated 5 years ago
• TaddyLab / gamlr
  Gamma lasso regression
  ☆23Updated 2 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆39Updated 7 months ago
• QuantEcon / quantecon-notebooks-datascience-old
  ☆13Updated 6 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• forio / julia-tutorials
  A collection of tutorials for the Julia Language, using the {Julia} Studio IDE
  ☆16Updated 10 years ago