SJY411's Stars
Light-City/CPlusPlusThings
C++那些事
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
carla-simulator/carla
Open-source simulator for autonomous driving research.
vipstone/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
PRML/PRMLT
Matlab code of machine learning algorithms in book PRML
daohu527/dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
MgArcher/Text_select_captcha
实现文字点选、选字、选择、点触验证码识别,基于pytorch训练
Blitzer207/C-Resource
黑马程序员匠心之作|C++教程从0到1入门编程
VincentWong3/automated-driving-control
VincentWong3/automatic-driving-decision-and-planning-for-matlab
AccumulateMore/CPlusPlus
✔(已完结)最全面的 C++ 笔记 【黑马程序员】
randybeard/mavsim_public
Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain
archibate/vimrc
小彭老师自用 NeoVim 整合包
upupming/algorithm
acwing, leetcode, kickstart, 算法模板, PAT 等等
imarvinle/interview-1
📚 C/C++面试知识总结
VincentWong3/notes
TianfaYao/ADRC
v1
leoking99-BIT/MPC-for-Self-driving-Vehicles
This repo holds the Simulink/CarSim codes for examples of Self-driving Vehicles and Model Predictive Contorl (2ed edition).
teddyluo/motion-planning-chs
运动规划综述中文翻译
MathWorks-Teaching-Resources/Phase-Plane-and-Slope-Field
Apps for qualitative ODE analysis.
Martion2017/ImageOcr
图片中文字坐标识别
hanxuanliang/algorithm-basic
算法模板 From https://www.acwing.com
VincentWong3/apollo
An open autonomous driving platform
jkaardal/augmented-lagrangian-matlab-octave
Augmented Lagrangian method for equality, inequality, and bound constrained optimization (MATLAB, octave)
ralna/LANCELOT
a fortran 77 package for large-scale nonlinear optimization
kuligram/PocketCube
Solving any pocket cube (2x2x2 Rubik) by A* search and/or a pattern database
lostswift/LMI_study
this is a research about LMI in input saturation and delay system
bithuanglq/Neotic-AVP-Demo
Haveon/PocketCubeSolver
Trying to solve a pocket cube
MariaLavrovskaya/num-opt-solutions
This repository stores solutions to Numerical Optimisation problems. Most of the algorithms provided are implementations based on pseudocode provided in Numerical Optimization by Jorge Nocedal, Stephen Wright.