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acquisitionfunction

PI, EI and GP-UCB acquisition function for Bayesian optimization

barx-sysid2018_sparsebayesianarx-models

Sparse Bayesian ARX models with flexible noise distributions

baye

bayesian-microlensing_rjmcmc

bayesian-regression

Data Science Using Python

bayesian_optimization

Acquisition function

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

bda_py_demos

Bayesian Data Analysis demos for Python

bo_drones

collinearity

A Python libreary for removing collinearity

convolutional-neural-markov-model

Experiment codes for the paper '2D Convolutional Neural Markov Models for Spatiotemporal Sequence Forecasting'

copula_rjmcmc

[Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis

coursera-1

Quiz & Assignment of Coursera

csd_lmnn

Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval

datasets

datasets

deepkalmanfilter

Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction

depthimage_to_laserscan

Converts a depth image to a laser scan for use with navigation and localization.

discreterjmcmc

Discrete Array Variable Reversible jump MCMC

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

feature-extraction

gaussian-process

Notebooks about Bayesian methods for machine learning

gaussian-random-fields

Generator of 2D gaussian random fields

gibbs-sampling-visualized

Visualization of Gibbs sampling for 2D Gaussian distribution

gpcam_autonomousexperiment

Autonomous Data Acquisition, Uncertainty Quantification and HPC Optimization

hmm

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

ieee_tgrs_munet

Multimodal Hyperspectral Unmixing: Insights from Attention Networks

interactive-bayesian-optimization

Interactive Bayesian Optimization

knowledge-gradient

Bayesian Global Optimization (BGO): Stratified Bayesian Optimization (SBO), Knowledge Gradient (KG), Expected Improvement (EI) and Probability Improvement (PI).