Alternatives and similar repositories for stan-workshop

Users that are interested in stan-workshop are comparing it to the libraries listed below

• WLOGSolutions / digital_champions_deeplearning_r_mxnet
  Showcase for using R + MXNET along with AWS and bitfusion for deep learning.
  ☆19Updated 7 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• mine-cetinkaya-rundel / ds-ed-enar2018
  Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
  ☆20Updated 7 years ago
• juliasilge / old_bloggy_blog
  My older Jekyll blog, based on the So Simple theme
  ☆24Updated 8 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 7 months ago
• dcl-2017-01 / curriculum
  Draft syllabus for the Data Challenge Lab
  ☆23Updated 8 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 9 years ago
• dgrtwo / splittestr
  Functions for Bayesian A/B Testing Post
  ☆24Updated 3 years ago
• patperry / r-mbest
  Moment-Based Estimation for Hierarchical Models (R Package)
  ☆26Updated 6 months ago
• rdrr1990 / bigKRLS
  Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:
  ☆28Updated 6 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 7 years ago
• cnaumzik / caffeR
  ☆38Updated 9 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 5 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• mlampros / fastTextR
  Efficient learning of word representations
  ☆22Updated 4 years ago
• tlverse / origami
  Comprehensive Cross-Validation Engine
  ☆27Updated 3 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• mbjoseph / CARstan
  Conditional autoregressive models in Stan
  ☆33Updated 2 years ago
• garrettgman / ggplyr
  split data with functions, transform pieces into plot layers, combine in a variety of ways
  ☆23Updated 13 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• rdrr1990 / kerasformula
  A high-level interface to keras for R that takes advantage of formulas
  ☆50Updated 6 years ago
• gabrielrvsc / BooST
  ☆17Updated 4 years ago
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• johnmchambers / XRPython
  XR-style Interface to Python (from "Extending R")
  ☆17Updated last year
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• mdneuzerling / DrakeModelling
  Combining drake workflows with R package development to train and execute a machine learning model
  ☆14Updated 5 years ago