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 3 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 8 months ago
• ColCarroll / callisto
  A command line utility to create kernels in Jupyter from virtual environments.
  ☆16Updated 7 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 10 months ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated 3 weeks ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 7 years ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆58Updated 2 months ago
• parsing-science / ps-toolkit
  Parsing Science Toolkit
  ☆27Updated 7 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• mrocklin / dask-spark
  Dask and Spark interactions
  ☆21Updated 8 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• ColCarroll / quantile_dotplot
  Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)
  ☆18Updated 5 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• pymc-devs / symbolic-pymc
  Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
  ☆62Updated last year
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 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
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago