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gnn

Implementation of Graph Neural Network (Scarcelli et al.) in Torch

gnn-toolbox

This toolbox is the work of Prof. Franco Scarselli, especially useful for graph neural network modelling.

gnn_community

Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li

gnnproject

Python software for Graph Neural Networks

gnns

Collection of graph neural networks in pytorch

gnss-analysis

tools for analyzing gnss algorithms and gnss data

gnuplot

goldenmonkey

Automatically exported from code.google.com/p/goldenmonkey

google-earth-engine-javascript-examples

Various examples for Google Earth Engine in Javascript

google-imagemap-tile-generator

Generate custom Google map tile images & the html & js to use it.

google-map-stitch

Download and stitch google map tiles into a single image.

googleearthengine-side-projects

Google Earth Engine side projects and tutorial scripts

googlemapdownloader

a small tool for downloading the tiles of google map, support to merge the all tiles into a big map

googlemapsdownloader

Download and merge tiles from Google Maps into a single image

googletest

Google Test

googletiledownload

GoogleTileDownload

googletileoverlaydemo

gperftools-old

Automatically exported from code.google.com/p/gperftools

gpi_pipeline

Gemini Planet Imager Data Reduction Pipeline

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpsh-algorithm-

This code implements the GPSH algorithm. It is an improved version of my CVPR work in "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval"

gpss17

Gaussian Process and Uncertainty Quantification Summer School 2017

gpu-fcm

Fuzzy c-means implementation on GPU using CUDA

gpudm

Estimation of skin optical parameters from hyperspectral images using CUDA.

gpumd

Graphics Processing Units Molecular Dynamics

gpuqt

A CUDA-implementation of a linear-scaling quantum transport method

gpvars

Assisted History Matching and Uncertainty Quantification using Gaussian Processes Proxy Model and Variogram Based Sensitivity Analysis

gpyopt

Gaussian Process Optimization using GPy

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch