balajiln / pgbart

Related projects: ⓘ

• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• kafluette / fastfood
  ☆15Updated this week
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆75Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆81Updated 3 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 10 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 9 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 4 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆90Updated 3 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 6 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆49Updated 3 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• tbroderick / bnp_tutorial
  ☆28Updated 6 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆95Updated 9 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆81Updated 4 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆32Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• jmwoloso / avalearn
  a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…
  ☆9Updated 6 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 8 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆58Updated 7 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆59Updated 7 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 4 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 2 years ago