Alternatives and similar repositories for sta-663-2018

Users that are interested in sta-663-2018 are comparing it to the libraries listed below

• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• cliburn / sta-663-2017
  Notebooks, worksheets and homework for STA 663 class
  ☆43Updated 8 years ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆169Updated 8 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• elegant-scipy / notebooks
  The compiled, clean (not run) Jupyter notebooks for Elegant SciPy
  ☆112Updated 5 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 6 years ago
• gforsyth / numba_tutorial_scipy2017
  ☆144Updated 3 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• cliburn / sta-663-2016
  STA663 Statistical Computing and Computation, Spring 2016
  ☆87Updated 9 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• mandli / intro-numerical-methods
  Jupyter notebooks and other materials developed for the Columbia course APMA 4300
  ☆283Updated 2 years ago
• kwmsmith / scipy-2017-cython-tutorial
  Material for the SciPy 2017 Cython tutorial
  ☆143Updated 7 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• sympy / scipy-2017-codegen-tutorial
  SymPy code generation tutorial at SciPy 2017
  ☆64Updated 7 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆67Updated 10 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆249Updated 3 months ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆57Updated 7 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆156Updated 6 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago