CamDavidsonPilon / autograd-gamma

Related projects: ⓘ

• ColCarroll / sampled
  Decorator for PyMC3
  ☆49Updated 3 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 4 years ago
• ColCarroll / quantile_dotplot
  Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)
  ☆18Updated 4 years ago
• parsing-science / ps-toolkit
  Parsing Science Toolkit
  ☆27Updated 6 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last month
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆104Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 3 months ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• arviz-devs / simulation_based_calibration
  Implementation of simulation based calibration for PyMC and Bambi
  ☆30Updated last week
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated last year
• ColCarroll / callisto
  A command line utility to create kernels in Jupyter from virtual environments.
  ☆16Updated 6 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 6 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 4 years ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 2 years ago
• dask / dask-glm
  ☆75Updated 2 weeks ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 3 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆54Updated last month
• arapat / sparrow
  Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…
  ☆21Updated 3 years ago
• uber / hypothesis-gufunc
  Extension to hypothesis for testing numpy general universal functions
  ☆39Updated 3 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆26Updated 3 months ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆95Updated 9 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 4 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated last month