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
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 7 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 2 months ago
• usnistgov / pmml_pymcBN
  ☆41Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• jakevdp / cython_template
  Package template for a project using Cython
  ☆59Updated 9 years ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆15Updated 3 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆122Updated 3 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated 2 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• dask / dask-glm
  ☆75Updated last year
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• sods / ods
  Open Data Science
  ☆33Updated 10 months ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 4 months ago
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆45Updated 6 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 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
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• QuantEcon / sphinxcontrib-jupyter
  A Sphinx Extension for Generating Jupyter Notebooks
  ☆77Updated 2 months ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆99Updated last month
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• dimenwarper / chainlearn
  Mini module with syntax sugar for pandas/sklearn
  ☆107Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago