Alternatives and similar repositories for statistical-rethinking

Users that are interested in statistical-rethinking are comparing it to the libraries listed below

• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• jonathan-taylor / stats-lecture-notes
  Statistics lecture notes
  ☆35Updated 9 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
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• fdabl / Intro-Stats
  Introductory Workshop to (Bayesian) Statistics
  ☆38Updated 8 years ago
• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆28Updated 10 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 9 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 9 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆37Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• szilard / teach-data-science-msc-analytics-ceu
  Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…
  ☆33Updated 8 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• davpinto / ml-simulations
  Animated Visualizations of Popular Machine Learning Algorithms
  ☆37Updated 8 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 5 months ago
• paulhendricks / gym-R
  An R package providing access to the OpenAI Gym API
  ☆21Updated 8 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• hannawallach / python-lda
  LDA in Python.
  ☆25Updated 11 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 3 years ago