Pinned Repositories
RoutePlanning
Global Route Planning for struct and no-struct Road.
apollo
An open autonomous driving platform
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
attention
some attention implements
Cosaliency_tip2013
The codes for "Cluster-based Co-saliency Detection" in TIP 2013.
Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Dig-into-Apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
hyh-nvim
InsisVim-hyh
🗃 An out-of-the-box Neovim IDE solution that setup development environment in an incredibly simple way.
hanyh1191's Repositories
hanyh1191/InsisVim-hyh
🗃 An out-of-the-box Neovim IDE solution that setup development environment in an incredibly simple way.
hanyh1191/hyh-nvim
hanyh1191/RoutePlanning
Global Route Planning for struct and no-struct Road.
hanyh1191/simulator
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
hanyh1191/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
hanyh1191/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
hanyh1191/apollo
An open autonomous driving platform
hanyh1191/Dig-into-Apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
hanyh1191/Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
hanyh1191/Cosaliency_tip2013
The codes for "Cluster-based Co-saliency Detection" in TIP 2013.
hanyh1191/Reinforcement-Learning
value-base & policy-based Reinforcement Learning Brief Description
hanyh1191/Book
:green_book:我的个人书籍学习和收藏
hanyh1191/Self-Driving-Cars
Coursera Open Courses from University of Toronto
hanyh1191/Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
hanyh1191/attention
some attention implements