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ccna60d

60天通过思科认证的网络工程师考试

char-cnn-text-classification-tensorflow

Character-level Convolutional Networks for Text Classification论文仿真实现

clusterscience2014

"Clustering by fast search and find of density peaks"是今年6月份在《Science》期刊上发表的的一篇论文，论文中提出了一种非常巧妙的聚类算法。经过几天的努力，终于用Java实现了文中的算法，下面与大家分享一下自己对算法的理解及实现过程中遇到的问题和解决办法。凡事都有第一次，至少要尝试才有更深的感悟，先将去年八月份写的原始代码贴出来，期间参考了论文作者的Matlab代码和网上的一些资料。

code

开发者课堂课程资料

compcar_analysis

Source code of some classification experiments evaluated on the newly published vehicle dataset CompCar

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

convolutionalneuralnet

This repository contains code for implementation of Convolutional Neural Network(CNN). We used the same features that we learned on 8X8 patches sampled from images from the STL-10 dataset in linear decoder exercise. The CNN has been trained on reduced STL-10 dataset. This dataset comprises 64X64 images from 4 classes (airplane, car, cat, dog). You can download the dataset from http://deeplearning.stanford.edu/wiki/index.php/Exercise:Convolution_and_Pooling The entire code has been written in Matlab. For more information refer to above link.

crawler_related

cruise-control-and-lane-keeping-controllers

Developed is a vehicle dynamics model that encompasses both the latitudinal and longitudinal aspects of motion. Built on top is a Cruise Control and Lane Keeping System using PID controllers.

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）

databank

区块链技术相关的论文、文档

datamodification

This matlab code is used for modifying data file of car side view pictures.

deep-learning-assisted-computer-vision-system

In summary, this project seeks to explore the science behind Neural Networks (NN), its various flavours, application areas and then finally, narrow down by applying it in the design and development of a computer vision system which can be used for traffic sign recognition and detection in autonomous vehicles. The project starts off by designing, developing, implementing and testing a model of the proposed vision system on a CPU using MATLAB and then afterwards, the performance of the implemented vision system is further optimized through vectorization, parallelism, legacy coding and heterogeneous computing. The project is concluded with detailed analysis and evaluation of the various optimization schemes utilized as well as an evaluation of the excellent Neural Network’s classification accuracy.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

distributedformationkeeping

A virtual vehicle approach to distributed control for formation keeping of underactuated vehicles

docs

Documentation site for Screeps online game

dress

好耶 是女装

drowsiness-detection-for-safe-driving

This Matlab application detects if the person is feeling sleepy by checking how much is a person blinking using computer vision techniques.

dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

ekf_based_adaptive_control

LQR controller design for nonlinear systems via KEF based parameter estimation

electric-vehicle-with-steering-gh

Nov. 2016 - Feb 2017. PID Controller.

emergency-response-notes

应急响应实战笔记，一个安全工程师的自我修养。

emg-movement-recognition

The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 6, pp. 662-673, June 2016.]. The paper proposes a system for hand movement recognition using multi-channel electromyographic (EMG) signals obtained from the forearm surface. This system can be potentially used to control prostheses or to provide input to a wide range of human computer interface systems. The developed methods were tested with the publicly available NINAPro database.

fast-mpc

Fast model predicitive control with matlab interface

feedback-control-matlab

Code analysing differet control systems. Topics: Advantages of closed-loop feedback systems. The role of the system mathematical model. Block diagrams and signal flow graphs. The basic control system design problem, stability in control systems. Frequency response analysis techniques. Root-locus analysis. Elementary lead-lag compensation.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

fireman-zigbee

无线监控人体肢体活动-server

flux

CyberPhysical

fpga

帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目