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Jiayuan Sun's Projects

apollo icon apollo

An open autonomous driving platform

apollo-11 icon apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

autoware icon autoware

Open-source software for self-driving vehicles

crfpp icon crfpp

CRF++: Yet Another CRF toolkit

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

googletest icon googletest

Googletest - Google Testing and Mocking Framework

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

loam_velodyne icon loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

motion_planning_autonomous_driving_vehicle icon motion_planning_autonomous_driving_vehicle

This is the coursera course project on "Motion planning for self-driving cars". The repository contains the functionality developed for motion planning for autonomous vehicles. It has motion planning and behavioral planning functionalities developed in python programming. The functions are tested in carla simulator.

neural-slam icon neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

ompl icon ompl

The Open Motion Planning Library (OMPL), mirror of:

opencv icon opencv

Open Source Computer Vision Library

opennav icon opennav

Open AMR(Autonomous Mobile Robot) Operating System

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pcl icon pcl

Point Cloud Library (PCL)

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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