Using Linear Algebra Techniques to accelerate Gaussian Process Regression
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Updated
Jun 12, 2024 - Python
Using Linear Algebra Techniques to accelerate Gaussian Process Regression
R interface to 'dgpsi' for deep and linked Gaussian process emulations
Python package 'dgpsi' for deep and linked Gaussian process emulations
Official repository for the paper "Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation"
Geostatistical processes for the GeoStats.jl framework
Combining tree-boosting with Gaussian process and mixed effects models
A software package for flexible HPC GPs
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Abstract types and methods for Gaussian Processes.
Gaussian processes in JAX.
Efficient approximate Bayesian machine learning
A simple tool to help you with Gaussian calculations
Non-parametric density inference for single-cell analysis.
Gaussian Process Model Building Interface
Gaussian processes in TensorFlow
Plots of Gaussian processes with AbstractGPs and Makie
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
Quantile set inversion [arXiv:2211.01008] — Numerical experiments
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