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agones

Dedicated Game Server Hosting and Scaling for Multiplayer Games on Kubernetes

ai-model-fastapi-docker

Application of an AI model to predict digits built in Fast API and Docker.

aialgorithmsandapplications

Course Material: AI Algorithms and Applications with Python I + II

app-labrecorder

An application for streaming one or more LSL streams to disk in XDF file format.

arcore-unity-network-keypad

Augmented Reality keypad that pulls secret code from GET request, made with ARCore in Unity.

autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

biking2

This is the source code of http://biking.michael-simons.eu

blavaan

An R package for Bayesian structural equation modeling

blender-behavior-graph-examples

A collection of Blender files demonstrating behavior graphs

blender-gltf-behavior-graph

Tool for editing GLTF Behavior graphs in Blender (extremely experimental, opinionated for usage in Mozilla Hubs)

blog_code

A repo for holding example code

chutvrc-hubs

cloud.stream.client

Cloud Stream Client is designed to showcase the connectivity between client application through WebSocket communication with Cloud Stream.

code

com.unity.multiplayer.samples.coop

A small-scale cooperative game sample built on the new, Unity networking framework to teach developers about creating a similar multiplayer game.

cscm-cwsp-dp

Cafeteria Waiter Scheduling Problem - Solve via Dynamic Programminng

cscm-dap-ta

destination assignment problem

cscm-iop-ameisen

Inverse Order Picking via Tabu Search

data-collection-project-19

DU homepage survey

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

docker-haproxy-certbot

Dockerized HAProxy with Let's Encrypt certificates automatic renewal

docker-openvpn

🔒 OpenVPN server in a Docker container complete with an EasyRSA PKI CA

dotfiles

eeg-workshop-bremen

event_detection

Eye movement event detection using threshold based(Velocity threshold and Dispersion threshold), machine learning algorithms(Random forest and KNN) and deep learning algorithms(CNN, LSTM and combination of LSTM and 2DCNN).

example-ml-project

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker

eye-tracking-unityxr

eyetrackingdemo

facetrackingdemo