Alternatives and similar repositories for Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert

Users that are interested in Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert are comparing it to the libraries listed below

• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆234Updated 4 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆157Updated 2 weeks ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆558Updated last year
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆144Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆208Updated 2 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated 2 months ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated last week
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• aayushmalik / awesome-bayesian-statistics
  A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
  ☆118Updated 4 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆230Updated 4 months ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆362Updated this week
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 6 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆297Updated 5 years ago