shlbjy's Stars
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
PKUFlyingPig/cs-self-learning
计算机自学指南
Alvin9999/new-pac
翻墙-科学上网、自由上网、免费科学上网、免费翻墙、fanqiang、油管youtube/视频下载、软件、VPN、一键翻墙浏览器,vps一键搭建翻墙服务器脚本/教程,免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点,翻墙梯子,电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网、youtube视频下载、youtube油管镜像/免翻墙网站、美区apple id共享账号、翻墙-科学上网-梯子
Light-City/CPlusPlusThings
C++那些事
TheAlgorithms/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
dibingfa/flash-linux0.11-talk
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
vpncn/vpncn.github.io
2024**翻墙软件VPN推荐以及科学上网避坑,稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件,**最新科学上网翻墙梯子VPN下载推荐,访问Chatgpt。
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
zhm-real/PathPlanning
Common used path planning algorithms with animations.
missing-semester-cn/missing-semester-cn.github.io
the CS missing semester Chinese version
chxuan/vimplus
:rocket:An automatic configuration program for vim
clown-coding/vpn
快速搭建一个自己的VPN翻墙科学上网
orangeduck/mpc
A Parser Combinator library for C
glouw/tinn
A tiny neural network library
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
wuxiaolang/Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪
ethz-adrl/control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
alexliniger/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
stotko/stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
qiayuanl/legged_control
NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls
majianjia/nnom
A higher-level Neural Network library for microcontrollers.
Mq-b/Cpp20-STL-Cookbook-src
C++20 STL Cookbook
iqiukp/ZoomPlot-MATLAB
MATLAB Code for Interactive Magnification of Customized Regions.
Field-Robotics-Lab/dave
Project DAVE
ser94mor/sensor-fusion
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
MaciPaci/Simulation-of-Underactuated-AUV-Control-Algorithms
MatLAB and Simulink simulation of different analytical methods of trajectory tracking and path following algorithms for Underactuated Autonomous Vehicles.
HighTorque-Robotics/livelybot_dynamic_control
The robot model of this repository is based on HighTorque’s 12-degree-of-freedom robot. The two degrees of freedom of the ankle joint are bound together in urdf, and the robot's degree of freedom becomes 10 degrees of freedom. Verified on bridgedp's code.
adityaravichander/auv_lqr
Addressing the combined problem of trajectory planning and tracking control for under-actuated autonomous underwater vehicle (AUV).
adis300/ccmath
CCMATH is a mathematics library, coded in C, that contains functions for linear algebra, numerical integration, geometry and trigonometry, curve fitting, roots and optimization, Fourier analysis, simulation generation, statistics, special functions, sorts and searches, time series models, complex arithmetic, and high precision computations.CCMATH is a mathematics library, coded in C, that contains functions for linear algebra, numerical integration, geometry and trigonometry, curve fitting, roots and optimization, Fourier analysis, simulation generation, statistics, special functions, sorts and searches, time series models, complex arithmetic, and high precision computations.
apurvmmmec/6DPoseEstimationCNN
Multi Stage Convolutional Neural Network Based 6D Pose Estimation. In this repo, I provide code for my [IROS 2018 ]paper, "Detect Globally, Label Locally: Learning Accurate 6-DOF Object Pose Estimation by Joint Segmentation and Coordinate Regression". Paper proposes a deep architecture with an instance-level object segmentation network that exploits global image information for object/background segmentation and a pixel-level classification network for coordinate regression based on local features. We evaluate our approach on the standard ground-truth 6-DOF pose estimation benchmarks and show that our joint approach to accurate object segmentation and coordinate regression results in the state-of-the-art performance on both RGB and RGB-D 6-DOF pose estimation.