dukehouse Goto Github PK

ipod-classic-js

An iPod Classic that connects to Apple Music and Spotify. Built with React & Styled Components

jcthreadmanager

Thread management

jtcpserver

TCP server threadpool implement

l-ink_card

Smart NFC & ink-Display Card

large_scale_traj_optimizer

Fast (Fastest?) Minimum Snap Trajectory Generation with Analytical Gradient

laser_line_extraction

A ROS package that extracts line segments from LaserScan messages.

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

logoly

A Pornhub Flavour Logo Generator

mac-precision-touchpad

Windows Precision Touchpad Driver Implementation for Apple MacBook / Magic Trackpad

macapps

分享个人收集的Mac的App,持续更新中...

maix_toolbox

Maix Toolbox: Collections of model scripts

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

motion-planning-for-mobile-robots

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

nocode

写最稳的代码，玩最辣的应用。放下屠刀，落地成盒。

nocode-1

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

obsidianmd_dracula_duke_x_lyt

Theme for ObsidianMD. A mix of LYT Mode (https://github.com/nickmilo/LYT-Mode) and Dracula (https://github.com/dracula/obsidian)

odrive

High performance motor control

openbilibilicode

这次只提供压缩版本和部分源码截图，别问这是什么，问就开花

pneumonia-diagnosis-using-xrays-96-percent-recall

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

pock

Display macOS Dock in Touch Bar

python-100-days

Python - 100天从新手到大师

qconcurrent-ipc

Qt并发与多进程通信实践

ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

ros-kitti-project

ros_advanced_tutorials

ROS进阶攻略系列视频课程

ros_qt5_gui_app

ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)

rtl8821cu

Linux Driver for Realtek 8821cu

sampling-based-path-finding

seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。