Alternatives and similar repositories for autograd-gamma

Users that are interested in autograd-gamma are comparing it to the libraries listed below

• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 3 years ago
• ColCarroll / quantile_dotplot
  Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)
  ☆18Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• ColCarroll / callisto
  A command line utility to create kernels in Jupyter from virtual environments.
  ☆16Updated 7 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆51Updated 3 months ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆61Updated 4 months ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 10 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 7 years ago
• uber / hypothesis-gufunc
  Extension to hypothesis for testing numpy general universal functions
  ☆39Updated 4 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 2 weeks ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• dask / dask-glm
  ☆76Updated 9 months ago