Name: Shy
Type: User
Company: [email protected]
Bio: Hello, I am graduate stuent from Northeastern University, China, and my research interests include autonomous driving cars and deep reinforcement learning
Location: Shenyang,China
Shy's Projects
An awesome README template to jumpstart your projects!
CAMshift is used for the target tracking,and we add the kalman filter to make the result more accurate
Bird-eye's view for CARLA simulator
A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comparing reinforcement learning algorithms. Trackable costs also enable the application of safe reinforcement learning algorithms.
Labeled Dataset for Object Detection in Carla Simulator
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
CIVC ”AD Chauffeur杯”仿真算法挑战赛决策控制组决赛第六名棋天大圣-东北大学队开源项目
CIVC ”AD Chauffeur杯”仿真算法挑战赛自动驾驶组决赛第二名云逸行-东北大学队开源项目 --- 20210916
Pytorch for Deep Reinforcement Learning
A simple reinforcement learning environment based on numpy.
记录一些自己在学习过程中的一些技巧或者笔记
We offer a simple code to visualize the datasets. Additionally, we provide a subset of the original dataset, which includes both the Waymo and Argoverse2 datasets.
By using Least Square Classification for MNIST, and adding random features, we finally get the 0.2 error rate.
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
A method for implementing Model-based Learning on the Pendulum-v0 environment in OpenAI GYM.
https://najibghadri.com/msc-thesis/
Personalization of Assistive Driving in Carla Simulator
optimization for speed/path planning
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Some notes about reinforce learning, self-driving cars and leetcode
A Tool for Extracting and Embedding Road Scene-Graphs
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
Some algorithm implementation with cpp or python