Alternatives and similar repositories for gpt-tutorial

Users that are interested in gpt-tutorial are comparing it to the libraries listed below

• bob-carpenter / diagnostic-testing
  statistical models to analyze diagnostic tests
  ☆15Updated 4 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆38Updated 2 months ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆34Updated 3 weeks ago
• quentingronau / bridgesampling
  R package for bridge sampling
  ☆32Updated last year
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 2 months ago
• jmbh / mgm
  Estimation of Time-Varying k-order Mixed Graphical Models
  ☆30Updated 4 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated last week
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 4 months ago
• stablemarkets / ChiRP
  Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
  ☆12Updated 3 years ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆35Updated 8 months ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆36Updated 3 months ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated last year
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• vcbradley / ddc-vaccine-US
  Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
  ☆14Updated 3 years ago
• mjskay / uncertainty-vis-course
  ☆26Updated last year
• integrated-inferences / CausalQueries
  Bayesian inference from binary causal models
  ☆30Updated last week
• jhelvy / stanTuneR
  This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…
  ☆29Updated 5 years ago
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆16Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆66Updated 4 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆32Updated 2 years ago
• cboettig / bad-forecast-good-decision
  Utility provides a more meaningful measure of forecast skill than goodness-of-fit
  ☆18Updated 3 years ago
• avehtari / casestudies
  ☆30Updated 9 months ago
• haozhestat / rfinterval
  An R package "rfinterval": Predictive Inference on Random Forests
  ☆13Updated 5 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated 10 months ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 3 weeks ago