Alternatives and similar repositories for BiteSizeBayes

Users that are interested in BiteSizeBayes are comparing it to the libraries listed below

• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 5 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆353Updated 4 years ago
• QuantEcon / quantecon-notebooks-datascience
  Jupyter Notebooks for https://datascience.quantecon.org
  ☆44Updated 4 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated last year
• willkurt / ProbAndStats-PyDataNYC2019
  Introduction to Probability and Statistics
  ☆56Updated 2 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 2 months ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 6 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆72Updated last year
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆69Updated last year
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆70Updated 2 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated 10 months ago
• DataForScience / CausalInference
  ☆94Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• AllenDowney / ThinkStats3
  Code and LaTeX source for Think Stats, third edition
  ☆31Updated 5 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆83Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆153Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆135Updated 4 years ago