Alternatives and similar repositories for sampled

Users that are interested in sampled are comparing it to the libraries listed below

• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated last year
• usnistgov / pmml_pymcBN
  ☆41Updated 7 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 5 months ago
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 7 years ago
• jakevdp / cython_template
  Package template for a project using Cython
  ☆59Updated 9 years ago
• parsing-science / pymc3_models
  ☆160Updated 3 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 4 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• QuantEcon / sphinxcontrib-jupyter
  A Sphinx Extension for Generating Jupyter Notebooks
  ☆77Updated 5 months ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated 2 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 10 years ago
• CamDavidsonPilon / autograd-gamma
  NotImplementedError: VJP of gammainc wrt argnum 0 not defined
  ☆15Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆74Updated last year
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 8 months ago
• scikit-hep / histbook
  Versatile, high-performance histogram toolkit for Numpy.
  ☆109Updated 7 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆281Updated 9 months ago
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆46Updated 7 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• dask / dask-glm
  ☆76Updated 2 weeks ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated 2 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆64Updated 3 weeks ago