izsahara's repositories
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
GPJax
A didactic Gaussian process package for researchers in Jax.
NumericalGP
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
pybind11_examples
Examples for the usage of "pybind11"
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
george
Fast and flexible Gaussian Process regression in Python
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)
Panel_Methods
Source and vortex panel method codes referenced in my YouTube videos.
sharpy
Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code
skgp
Extended Gaussian Process functionality for sklearn
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