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
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• AM207 / 2018fall
  ☆38Updated 4 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
  ☆168Updated 7 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆218Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• gforsyth / numba_tutorial_scipy2017
  ☆144Updated 3 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 6 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 6 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆94Updated 6 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated 2 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆69Updated 4 years ago
• elegant-scipy / notebooks
  The compiled, clean (not run) Jupyter notebooks for Elegant SciPy
  ☆111Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• enthought / Numpy-Tutorial-SciPyConf-2020
  Numpy-Tutorial-SciPyConf-2020
  ☆29Updated 3 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆150Updated 4 years ago
• jonathan-taylor / stats-lecture-notes
  Statistics lecture notes
  ☆34Updated 9 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• barbagroup / numba_tutorial_scipy2016
  Numba tutorial materials for Scipy 2016
  ☆144Updated 7 years ago