qifan-sailboat Goto Github PK

2017-fog-hackathon-pre-competition

A pre-competition for the real one on Oct 14-15, 2017

baidu-apollo-control-algorithm

Analyzed Baidu Apollo LQR and MPC lateral control algorithm based on dynamic vehicle model

cs100

CS100 Programming Course@ShanghaiTech 2016Fall

cs101datastructure

CS101: DataStructure on 2018 spring.

cs101datastructureproject

A hackathon-like project on Didi(滴滴出行) based on all the orders of Didi Chu Xing from 11/1/2016 to 11/30/2016 in Chengdu

cs110-2018spring

CS110: Computer Architecture I in ShanghaiTech University on 2018Spring. It is a course based on CS61C of UC Berkeley EECS Department.

csrankings

A web app for ranking computer science departments according to their research output in selective venues.

dns-fuzz-server

Fuzzing tool for DNS Full-Service-Resolvers.

dns-fuzzer

dynamic-tensorflow-tutorial

Tensorflow tutorial of building different dynamic recurrent neural network

eskf

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

hackshanghai2018

Repository of all codes used in hackShanghai on July 22, 2018@ShanghaiTech University

keyscore

Hack.init()@7/8/2017

keyscoreandroid

ospr4

pyadvancedcontrol

Python codes for advanced control

pythonrobotics

Python sample codes for robotics algorithms.

qifan-sailboat.github.io

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

shadowsocks_install

Auto Install Shadowsocks Server for CentOS/Debian/Ubuntu

si100

Codes Used in SI100

si131_linear_algebra_project

It is a project for SI131: Linear Algebra in Fall 17@ShanghaiTech University. In this project we achieve face recognition based on 'sparse representation'. We use PCA to train the matrix and use SRBFR to test accuracy.

si140_final_project

Final Project 微信抢红包背后的算法原理 for SI140 Probability and Statistics, Fall 17, ShanghaiTech @1/18/2018

speech_io-by-veizz-

spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

tc-gm5

tc_hackathon_2017

tls-attacker

TLS-Attacker is a Java-based framework for analyzing TLS libraries. It can be used to manually test TLS clients and servers or as as a software library for more advanced tools.