Pinned Repositories
aaront97.github.io
AIChef
Android demo app created for ARM. AI Chef uses ARM Compute Library to train a neural network to automatically recoginse scanned ingredients, recommend recipes based on them and provide a shopping list of other ingredients needed to complete the selected recipes.
CasualJogger
A weather app targetted specifically for runners, Interaction Design Group #29.
first-prototype
First Prototype of Web App, Built on Vue
GameGig2018
GameGig2018-1
GameGig2018-Winner-FINAL
Made in GameGig2018, an arcade-esque two-player game with an objective of killing the other player by using a shared space button. To begin playing: Clone -> Right Click Runner.exe -> Run with graphics processor -> Integrated Graphics. Avoid the obstacles, get the powerups, grab a friend to play with, and have fun.
gdx-skins
:octocat: Free LibGDX Scene2D GUI skins.
GNN-logic
GraphMuRel
Cambridge CS Part II Project 2019.
aaront97's Repositories
aaront97/GraphMuRel
Cambridge CS Part II Project 2019.
aaront97/aaront97.github.io
aaront97/AIChef
Android demo app created for ARM. AI Chef uses ARM Compute Library to train a neural network to automatically recoginse scanned ingredients, recommend recipes based on them and provide a shopping list of other ingredients needed to complete the selected recipes.
aaront97/CasualJogger
A weather app targetted specifically for runners, Interaction Design Group #29.
aaront97/first-prototype
First Prototype of Web App, Built on Vue
aaront97/GameGig2018
aaront97/GameGig2018-1
aaront97/GameGig2018-Winner-FINAL
Made in GameGig2018, an arcade-esque two-player game with an objective of killing the other player by using a shared space button. To begin playing: Clone -> Right Click Runner.exe -> Run with graphics processor -> Integrated Graphics. Avoid the obstacles, get the powerups, grab a friend to play with, and have fun.
aaront97/gdx-skins
:octocat: Free LibGDX Scene2D GUI skins.
aaront97/GNN-logic
aaront97/GNN-RNI
The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
aaront97/k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
aaront97/ProvablyPowerfulGraphNetworks_torch
aaront97/Teaching
Sample code for Further Graphics lectures, Cambridge University.