Safe Bayesian Optimization
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussia...
Sparse Gaussian Processes for SLAM
Learning-aided 3D mapping
Unofficial Implementation of the paper "Data-Efficient Reinforcement Lea...
Fast inference for Gaussian processes in problems involving time. Partly...
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and mod...
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
A Visual Exploration of Gaussian Processes
Approximate inference for Markov Gaussian processes using iterated Kalma...
Deep Kernel Learning. Gaussian Process Regression where the input is a n...
Bayesian optimization for Julia
Implementation of random Fourier features for kernel method, like suppor...
Python library for Bayesian hyper-parameters optimization