Alternatives and similar repositories for pydata-seattle-2017:

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

• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated 3 months ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆50Updated 2 years ago
• sidravi1 / Blog
  ☆23Updated 4 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 8 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆47Updated 3 years 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…
  ☆28Updated 2 years ago
• pymc-devs / pymc-bart
  ☆100Updated last week
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆14Updated 4 months ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆30Updated 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
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• fonnesbeck / bayes_pydata_london_2024
  Probabilistic Programming and Bayesian Computing with PyMC
  ☆21Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 3 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆98Updated 10 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆48Updated last month
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 5 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 7 months ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆68Updated last week
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆55Updated last month
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆71Updated last year
• Edderic / statistical-rethinking-python-solutions
  Personal solutions to end-of-chapter questions
  ☆13Updated 5 years ago
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆57Updated 3 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated last month