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acados

Fast and embedded solvers for nonlinear optimal control

apollo

An open autonomous driving platform

apollo3.0-note

Note for Apollo 3.0 perception, prediction and planning modules

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-decision-making-reinforcement-learning

A selection of state-of-the-art research materials on decision making and motion planning.

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

coursera-ml-andrewng-notes

cqu-autonomous-driving-system

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dmpc_for_platoons

drl

Repository for codes of 'Deep Reinforcement Learning'

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

dynamo

A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization

epsilon

lihang-code

《统计学习方法》的代码实现

machine-learning

deep learning

matmpc

pythonrobotics

Python sample codes for robotics algorithms.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

spatiotemporal_semantic_corridor

Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".

sqp-vs.-semismooth-newton

A comparison between two methods of the nonlinear optimization: Sequential Quadratic Programming and Semismooth Newton

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges