Alternatives and similar repositories for stat238-fall-2016:

Users that are interested in stat238-fall-2016 are comparing it to the libraries listed below

• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• gelman / ep-stan
  ☆32Updated 4 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 7 years ago
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 7 years ago
• rtrangucci / gps_in_stan
  ☆12Updated 8 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 9 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 9 years ago
• rlbarter / Practical-Statistics
  ☆24Updated 4 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 10 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 4 months ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 8 years ago
• inf16nyu / home
  ☆78Updated 8 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• vasishth / Statistics-lecture-notes-Potsdam
  Lecture notes from a statistics course I teach at Potsdam
  ☆29Updated 4 years ago
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated this week
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆20Updated this week
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆52Updated 7 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• georgeberry / causal-inference-intro
  A short introduction to causal inference
  ☆28Updated 5 years ago
• flaxter / us2016
  Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
  ☆16Updated 7 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆28Updated 8 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• mhtess / rwebppl
  RWebPPL, an R interface to Webppl http://webppl.org
  ☆22Updated last year
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆90Updated 4 years ago