izsahara Goto Github PK

as-data-sets

Active Subspace Data Sets

cppgps

Implementation of Numerical Gaussian Processes in C++

cython-book

Learning Cython packtpub.com code examples.

dgp

Deep Gaussian process emulation using stochastic imputation

dgps_with_iwvi

Deep Gaussian Processes with Importance-Weighted Variational Inference

docs

TensorFlow documentation

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

fdml

george

Fast and flexible Gaussian Process regression in Python

gpjax

A didactic Gaussian process package for researchers in Jax.

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpy

Gaussian processes framework in python

kadal

Kriging for Analysis, Design optimization, And expLoration (KADAL)

numericalgp

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

panel_methods

Source and vortex panel method codes referenced in my YouTube videos.

pybind11_examples

Examples for the usage of "pybind11"

sghmc_dgp

sharpy

Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code

skgp

Extended Gaussian Process functionality for sklearn

structured_dgp

svmpy

This code was written during the writing of my undergraduate thesis as a means to understand the inner details of Support Vector Machines. This includes a rough translation of the original \epsilon -SVR and \nu -SVR based on the C source code (https://www.csie.ntu.edu.tw/~cjlin/libsvm/))

tsdl

The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.

tutorialgp

Tutorial on Gaussian Processes

vargplvm

Bayesian GPLVM in MATLAB and R