Projects

It contains 5 projects

GCN_Facebook

• This project uses GCN model to carry out a semi supervised multi-class node classification using Facebook Large Page-Page Network dataset with reasonable accuracy.
• Usage: run this file in jupyer notebook

pokeman_game

• This project uses python as a single-player puzzle game where the objective is for the player to find all the Pokemon without scaring them away by stepping on them.
• Usage: put the a3.py and images in the same folder and run a3.py

pytorch_cifar

• This project use a ResNet-50 to implement a CIFAR classification that achieves a 94% accuracy.
• Usage:
  • Python 3.6+
  • PyTorch 1.0+
  • Run cifar10.py

chat_network

• This project develop a networked version of the chat system through C
• Usage:
  • Run "makefile" first - "make"
  • Run server - "./server authfile 2345"
  • Run client - "./client F authfile 2345"

building_manager_system

• This project developa a simple simulation of a building management system.
• Usage: Run Launcher.java