gaofei Goto Github PK

followers: 0.0 following: 32.0 repos: 234.0 gists: 0.0

Name: GaoTengFei

Type: User

Company: @baidu

Location: BeiJing

GaoTengFei's Projects

chisel

Chisel is a collection of LLDB commands to assist debugging iOS apps.

cityengine-sdk

This is the official site for the SDK of CityEngine, a 3D city modeling software for urban design, visual effects, and VR/AR production.

涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、数据结构（排序、查找）、数据库、、C++对象模型、设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

cpp-httplib

A C++ header-only HTTP/HTTPS server and client library

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

dataframe

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.

design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

dsim

A simulation program base on PhysX for drone,use for testing KF,EKF and control system

dtshare

DT时代的数据共享和应用

dustracing2d

Dust Racing 2D is a traditional top-down car racing game including a level editor.

electric-vehicle-route-planning-on-google-map-reinforcement-learning

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map