Dianzhao Li's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Self-Driving-Cars
Coursera Open Courses from University of Toronto
DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
reinforcement-learning
Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
ReinforcementLearningInAutoPilot
RL in AutoPilot 自动驾驶强化学习：效果展示，框架设计、算法和训练经验文档等（部分开源，update from private repo: egocar）
CARLADesktop
Run CARLA on an EC2 VM
Self-Driving-Vehicle-Control-Using-Carla
In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to reach these waypoints at certain desired speeds, so both longitudinal and lateral control was required.
CarND-BehavioralCloning
Convolutional Neural Network that clones human driving behavior in a simulator
min-carla-env
2d Deep Reinforcement Learning environment with Carla
Duckietown-RL
Source code for our paper "Sim-to-real reinforcement learning applied to end-to-end vehicle control"
Lane-Line-Detection-using-color-transform-and-gradient
Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient
ros_bridge
ROS Bridge Driver for Carla Simulator package : https://github.com/carla-simulator/carla
rosbag-visual-topic-selector
Script allowing user to produce filtered .bag files for ROS in seconds. This is only mirror. Please leave your contributions here for review