Alternatives and similar repositories for Introduction_to_PyMC3

Users that are interested in Introduction_to_PyMC3 are comparing it to the libraries listed below

• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆135Updated 4 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆44Updated 3 weeks ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆34Updated 6 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• SimonOuellette35 / SVmodels
  Stochastic volatility models
  ☆18Updated 6 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• rasmusab / bayesianprobabilitiesworkshop
  A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.
  ☆124Updated 3 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆25Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 7 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆220Updated 2 years ago