skbel

Bayesian regressor

A Python framework for Bayesian inference and regression using Gaussian processes.

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

GitHub

24 stars
3 watching
4 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list

bayesian-inferencegaussian-processgaussian-process-regressiongaussian-processesgeologygroundwaterhydrogeologymachine-learningmultiple-output-regressionmultivariate-regressionpfasklearn

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
sktime/skproA unified framework for probabilistic regression and prediction with Python-based tools.250
amazaspshumik/sklearn-bayesA collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API514
abhik/peblA Python library and command line application for learning Bayesian network structures from observational data.104
maxsklar/bayespyA Python library for Bayesian inference and multinomial mixture modeling108
judyboon/bassAn implementation of a Bayesian factor analysis model with structured sparsity priors for multivariate data20
ctallec/pyvarinfA Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch359
rmcelreath/statrethinking_winter2019A repository of statistical modeling materials and resources for an R course on Bayesian inference2,018
mcleonard/sampylAn MCMC sampler library for Bayesian estimation using Python331
alonfnt/bayexA lightweight Bayesian optimization library designed to optimize expensive-to-evaluate functions using Gaussian Process models and various acquisition functions.86
pjaselin/cubistA Python package implementing Quinlan's Cubist regression model for generating rule-based predictive models44
wlwkgus/noisynaturalgradientPyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks121
joshuaalbert/jaxnsA probabilistic programming framework for Bayesian inference and model comparison using nested sampling and JAX.156
klitter/a-bayesian-federated-learning-framework-with-online-laplace-approximationA framework for collaborative machine learning across distributed datasets using Bayesian methods and online approximation techniques8
skforecast/skforecastA Python library for building machine learning models to forecast time series data1,189
ptrblck/prog_gans_pytorch_inferenceReproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot322