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gaussqr

Tools for computation with positive definite kernels (RBFs) in approximation, optimization and PDEs

gdlibrary

Matlab library for gradient descent algorithms: Version 1.0.1

geilowinterschool2018

Probabilistic Machine Learning with the AMIDST Toolbox

geilowinterschool2018-1

geocomputing

Examples for doing spatial analysis in CSC computing environment.

george

Fast and flexible Gaussian Process regression in Python

git-github-travis-lab

MSc Programming Skills - Git, GitLab, TravisCI lab. Contact: mikej888

git-novice

Software Carpentry introduction to Git for novices.

git-remote-dropbox

A transparent bridge between Git and Dropbox - use a Dropbox (shared) folder as a Git remote! :gift:

git-staa-577

Slides, code, cheat sheets, and RStudio lab notebooks for "Applied Machine Learning" course for Spring 2019

git-tutorials-siamcse2017

Git tutorial slides for the SIAM CSE 2017 conference

gp_tutorial

GP tutorial based on GPy

gparareal

This repository contains sample code for the pre-print by Pentland, Tamborrino, Sullivan, Buchanan and Appel - "GParareal: A time-parallel ODE solver using Gaussian process emulation".

gpml_extensions

Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.

gprs15b

Gaussian Process Summer School, Melbourne, Australia, 20015

gpss17

Gaussian Process and Uncertainty Quantification Summer School 2017

gpss18

Gaussian Process and Uncertainty Quantification Summer School 2018

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gptutorial

A hands-on tutorial on supervised learning with Gaussian processes

gpu-practicals

Set of practicals in CUDA & OpenACC for a talk on GPU computing

gpy

Gaussian processes framework in python

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graduate_essay

Nodal discontinuous Galerkin methods for fractional diffusion equations on 2D domain with triangular meshes

grants

grant proposals

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

high-performance-computing-technology

Course P1.8 of Master HPC;

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

higher-order-methods

Implementation of numerical code for hyperbolic equations