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An open autonomous driving platform
Open-source simulator for autonomous driving research.
l love code
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
OpenCDA is a generalized framework for prototyping cooperative driving automation applications (e.g., cooperative perception, platooning) and automated driving components (e.g., perception, localization, planning, control), fully integrated with automated driving simulation (CARLA), traffic simulation (SUMO), and Co-simulation (CARLA + SUMO).
Online resources for Python Crash Course (Second Edition), from No Starch Press
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python - 100天从新手到大师
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Simple Reinforcement learning tutorials
Reinforcement learning in python
手写实现李航《统计学习方法》书中全部算法
机器学习相关教程
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