balajiln / pgbartLinks
Particle Gibbs for Bayesian Additive Regression Trees
☆33Updated 10 years ago
Alternatives and similar repositories for pgbart
Users that are interested in pgbart are comparing it to the libraries listed below
Sorting:
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Variational Fourier Features☆87Updated 4 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- ☆99Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Updated last year
- Code for AutoGP☆27Updated 6 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆34Updated 6 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- ☆41Updated 7 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Automatic differentiation + optimization☆101Updated 6 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- ☆160Updated 3 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆46Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆85Updated 5 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago