135797531996

135797531996's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k5.3k59551.2k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell52.6k38324411.6k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.9k9112.4k21.3k

• 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

  Language:HTML20.4k387592.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.9k4633284.2k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11.1k309302.9k

• hehonghui/the-economist-ebooks

  经济学人(含音频)、纽约客、自然、新科学人、卫报、科学美国人、连线、大西洋月刊、国家地理等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新.

  Language:CSS9.9k

• SSHeRun/CS-Xmind-Note

  计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

  9.3k165252.1k

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.9k1363051.5k

• huangmingchuan/Cpp_Primer_Answers

  《C++ Primer》第五版中文版习题答案

  Language:C++2.8k6675796

• czs108/Cpp-Primer-5th-Notes-CN

  📚 《C++ Primer中文版（第5版）》笔记

  1.2k190335

• ahmetozlu/vehicle_counting_tensorflow

  :oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

  Language:Python8934581361

• richenyunqi/CCF-CSP-and-PAT-solution

  CCF CSP和PAT考试题解（使用C++14语法）

  Language:C++741177129

• PreSenseRadar/OpenRadar

  An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

  Language:Jupyter Notebook6353553204

• kcg2015/Vehicle-Detection-and-Tracking

  Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

  Language:Python5381934193

• Fafa-DL/Opencv-project

  Awesome Opencv Project

  Language:Python49882164

• m6c7l/pymmw

  Pythonic mmWave Toolbox for TI's IWR Radar Sensors

  Language:Python290152883

• wonter/Computer-Networking-A-Top-Down-Approach-NOTES

  📚《计算机网络 自顶向下方法》(第六版)

  Language:Python25510073

• s7ev3n/MPC_Code

  Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.

  Language:Matlab2467384

• ekurtgl/FMCW-MIMO-Radar-Simulation

  Language:MATLAB2044538

• rflin/ccf-csp

  ccf csp题解

  Language:C++736020

• wanglitao2020/doc

  嵌入式工程师自我修养、学习方法、文档资料、电子书籍分享

  Language:Shell471015

• henrypoter/C_Primer

  C Primer Plus, Fifth Edition

  Language:C466022

• cnbird1999/Realtime-Traffic-Detection

  Video surveillance units are usually the first element of a security system. While they are the most intuitive to understand and can be programmed for many tasks, they also have many vulnerabilities, such as sensitivity to light levels and large computational requirements. The article presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application is utilizing image-processing methods using OpenCV library designed and modified to the needs of road traffic analysis. This method gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking, to measure the average speed. This system is based on stationary video cameras and an onboard arm processor running on android or linux processing the video and sending the processed data to a central server connected to wide area network or through GPRS. This software was made to save users time so that they don’t get stuck in traffic jams and avoid them beforehand as they have prior knowledge about the traffic conditions on the alternate routes, so that users could choose the route with least traffic and hence shall reach his/her destination hassle free. What users need to do is, subscribe to the routes (from their android phone) in a particular area, our software will tell the user about the traffic density in each of the alternate routes available in that area and suggest the best route with least traffic to the user. Therefore by using our software from any android device, the user will enjoy a hassle free ride towards his destination.

  Language:C++333019

• RicardoSky/signalsort

  you can use PDW to sort radar singal

  Language:Python32026

• antsfamily/emitter

  Radar Emitter Signal Simulation, Sorting and Recognition

  Language:Python20215

• mapleleaf-nine/imx6ull-study

  学习韦东山老师嵌入式Linux，基于IMX6ULL开发板的学习过程记录

  Language:C14102

• JUSTWILLPOWER/iwr6843isk-HARbag

  包含通过iwr6843isk收集的6类人体活动的bag数据，包含将iwr6843isk录制的ROS包解析成txt文件并且拆分训练集和测试集的程序

  Language:Python13131

• Youngluc/CTFL-Beta

  The code for paper: Contrastive time–frequency learning for radar signal sorting

  Language:MATLAB11121

• dodowujiayu/Human-Detection-and-Action-Classification

  Language:Python101