Docker Swarm Load Balancer (AWS EC2 Cluster)
The idea is to design a load balancer using Docker Swarm that can distribute the load on different worker machines, based on the inter-arrival of requests.
The idea is to design a load balancer using Docker Swarm that can distribute the load on different worker machines, based on the inter-arrival of requests.
The contest involves a multi-player capture-the-flag variant of Pacman, where agents control both Pacman and ghosts in coordinated team-based strategies. You...
We will propose a novel non-randomized anytime orienteering algorithm for finding k-optimal goals that maximize reward on a specialized graph with budget con...
This project will implement value iteration and Q-learning. It will first test agents on Gridworld (from class), then apply them to a simulated robot control...
The aim of this project is to get you acquainted with AI search techniques and how to derive heuristics in Pacman, as well as to understand the Python-based ...
Bengio’s Trigram Neural Probabilistic Language Model using PyTorch with GPU acceleration
In this project, we present a misinformation detection system for climate change related content that can classify text to be either correct information or m...
This project implements famous MAB algorithms and evaulates them on the basis of their performance.
The goal of this project is to predict the authors of test tweets based on the analysis of the 328195 unstructured training tweets from 9293 users.
To verify a story with AURIN, we extracted tweets related to gluttony by searching for certain keywords in the text and correlated the number of tweets on gl...
We have surveyed eight such databases in the industry and compared them on eight most prominent parameters such as performance, portability, query optimizati...
This project aims at delivering a simple, parallelised application that leverages the power of the University of Melbourne High-Performance Computing(HPC) fa...