gaussian-processes topic

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

yell

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

SimonRennotte

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

maka89

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

tiskw

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

JuliaGaussianProcesses

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

Eric-Bradford

Bayesian optimization for Julia

jbrea

A library of scalable Bayesian generalised linear models with fancy features

NICTA

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

epiforecasts

Learning-aided 3D mapping

RobustFieldAutonomyLab