Alternatives and similar repositories for stat159-f17

Users that are interested in stat159-f17 are comparing it to the libraries listed below

• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• choldgraf / jupyter-book-DEPRECATED
  A jekyll-based textbook made with Jupyter Notebooks
  ☆15Updated 4 years ago
• qingkaikong / 20161202_ANN_basics
  Artificial Neural Network basics
  ☆14Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 9 months ago
• eggplantbren / STATS331
  Lecture notes for an introductory undergraduate course in Bayesian Inference
  ☆51Updated 3 weeks ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 8 years ago
• swcarpentry / managing-research-software-projects
  Managing small to medium-sized research software projects.
  ☆37Updated 2 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
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• kingaa / short-course
  Model-based Inference in Ecology and Epidemiology
  ☆5Updated 4 years ago
• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• TaddyLab / gamlr
  Gamma lasso regression
  ☆23Updated 2 years ago
• tdhopper / Data-Science-Conference-Bingo
  Inspired by John Foreman. Created by the crowds.
  ☆54Updated last year
• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 7 years ago
• dpsanders / scipy_2014_python
  ☆18Updated 11 years ago
• amueller / odsc_east_2016
  ☆26Updated 9 years ago
• berkeley-scf / tutorial-parallel-distributed
  Tutorial on parallelization tools for distributed computing (multiple computers or cluster nodes) in R, Python, Matlab, and C.
  ☆21Updated 6 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆22Updated last month
• tritemio / pybroom
  pybroom, the python's broom to tidy up messy fit results!
  ☆14Updated 8 years ago
• UBC-DSCI / reproducible-and-trustworthy-workflows-for-data-science
  ☆53Updated 3 months ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 years ago
• diyadas / tutorials
  Short programming tutorials pertaining to data analysis.
  ☆15Updated 8 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated 2 weeks ago
• berkeley-scf / tutorial-git-basics
  Tutorial on the basics of Git using BCE
  ☆8Updated 6 years ago
• binder-examples / r_with_python
  Minimal working example for a binder with both R and Python Jupyter and RMarkdown notebooks
  ☆31Updated 6 years ago