Alternatives and similar repositories for MonteCarlo

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

• anastasiospanagiotelis / DimensionReduction
  Short course on dimension reduction for AMSI
  ☆35Updated 2 years ago
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆26Updated 2 weeks ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated 3 months ago
• Hua-Zhou / Hua-Zhou.github.io
  Hua Zhou's personal webpage
  ☆18Updated 8 months ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆54Updated 3 weeks ago
• mattiasvillani / MLcourse
  Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
  ☆17Updated last year
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆156Updated this week
• ResearchLuxembourg / restimator
  Real time estimation of epidemic Effective Reproduction Number for Luxembourg
  ☆12Updated 2 years ago
• LuZhangstat / Pathfinder
  ☆23Updated 2 years ago
• charlesm93 / stanTutorial
  Files for StanCon 2023 tutorial.
  ☆18Updated last year
• metrumresearchgroup / BayesPBPK-tutorial
  ☆14Updated 2 years ago
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 3 years ago
• osqp / osqp-r
  R interface for OSQP
  ☆13Updated last year
• colemonnahan / gradmcmc
  Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
  ☆15Updated 8 years ago
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆12Updated 7 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated last week
• StatisticalRethinkingJulia / SR2StanPluto.jl
  StatististicalRethinking notebook project using Stan and Pluto notebooks.
  ☆18Updated last year
• akira-endo / Intro-PMCMC
  Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
  ☆12Updated 3 years ago
• elizavetasemenova / gp_turing
  ☆15Updated 4 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
• hanase / BMA
  R package for Bayesian model averaging
  ☆40Updated 7 months ago
• Non-Contradiction / convexjlr
  Disciplined Convex Programming in R using Convex.jl.
  ☆14Updated 6 years ago
• storopoli / Turing-Workshop
  DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
  ☆35Updated 4 years ago
• dmbates / JuliaWorkshop
  Materials for a workshop on Julia programming at UW-Madison Statistics Dept. in June 2014
  ☆31Updated 6 years ago
• jrfiedler / causal_inference_julia_code
  Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆50Updated 3 years ago
• scheidan / adaptMCMC
  R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).
  ☆10Updated last year
• feng-li / Python-for-Statisticians-and-Economists
  Feng Li's Python Course for Statisticians and Economists
  ☆14Updated last year
• alfredgalichon / VQR
  Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)
  ☆16Updated 4 years ago
• yoninazarathy / ProgrammingCourse-with-Julia-SimulationAnalysisAndLearningSystems
  Programming of Simulation, Analysis, and Learning Systems Course Materials
  ☆37Updated last week