Alternatives and similar repositories for pydata-seattle-2017

Users that are interested in pydata-seattle-2017 are comparing it to the libraries listed below

• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• vincentarelbundock / pymarginaleffects
  ☆71Updated last month
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 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
• pymc-devs / pymc-bart
  ☆118Updated this week
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 8 months ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆31Updated 2 weeks ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated 2 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• Edderic / statistical-rethinking-python-solutions
  Personal solutions to end-of-chapter questions
  ☆13Updated 6 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆22Updated 9 months ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• springcoil / probabilisticprogrammingprimer
  ☆91Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆144Updated last year
• asbates / bayes-time-series
  ☆27Updated 6 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆52Updated 2 years ago
• pollsposition / models
  Forecasting 🇫🇷 elections with Bayesian statistics 🥳
  ☆42Updated 3 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated 2 years ago
• JingyuHe / XBART
  ☆92Updated 6 months ago