Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

GPstuff - Gaussian process models for Bayesian analysis

Bayesian Optimization of Combinatorial Structures

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

standard, parallel, constrained, and multiobjective EGO algorithms

Python implementation of Bayesian optimization over permutation spaces.

Bayesian Statistics Guide

Particle filter-based Gaussian process optimisation for parameter inference

Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis

Implementation of a Bayesian approach to cryo-EM structure determination

A Matlab toolbox for Bayesian optimization.

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.

Surrogate-Assisted Tuning

Gaussian-Process Surrogate Optimisation

Tutorial covering group DCM analyses of fMRI and M/EEG

Repository for my course projects in I.I.T Kanpur

Data for the Quantitative Single-Neuron Modeling Competition (2007).