TerrySunty's repositories
Portfolio_Eng.github.io
Portfolio demonstration English version
2d-extras
Fun 2D Stuff that we'd like to share!
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
taptap_emotion_analyse
TAPTAP游戏评论的文本挖掘，包括APP爬虫、数据清洗、pyecharts可视化、pytorch框架下LSTM模型情感分析
Celeste-Movement
Recreating the movement and feel from Celeste
XZY-CS374-Project.github.io
Team XZY's HCI project
Autonomous-Car
Modeling of an autonomous car - CS221 Stanford Assignment
bootstrap-tagsinput
jQuery tags input plugin based on Twitter Bootstrap.
KENS
kens~~~
cs221_project2
cs221_project
CS221-Car
This assignment is a modified version of the Driverless Car assignment written by Chris Piech. A study by the World Health Organisation found that road accidents kill a shocking 1.24 million people a year worldwide. In response, there has been great interest in developing autonomous driving technology that can can drive with calculated precision and reduce this death toll. Building an autonomous driving system is an incredibly complex endeavor. In this assignment, you will focus on the sensing system, which allows us to track other cars based on noisy sensor readings. Getting started. Let's start by trying to drive manually: python drive.py -l lombard -i none You can steer by either using the arrow keys or 'w', 'a', and 'd'. The up key and 'w' accelerates your car forward, the left key and 'a' turns the steering wheel to the left, and the right key and 'd' turns the steering wheel to the right. Note that you cannot reverse the car or turn in place. Quit by pressing 'q'. Your goal is to drive from the start to finish (the green box) without getting in an accident. How well can you do on crooked Lombard street without knowing the location of other cars? Don't worry if you aren't very good; the staff was only able to get to the finish line 4/10 times. This 60% accident rate is pretty abysmal, which is why we're going to build an AI to do this.
OS
FCFS,SJF,RR,Priority ,Banker's algorithm--all in one