- 📙 Focusing on Cooperative Driving Automation
- 🔨 Simulaton-based optimization;Deep learning
- 🐏 A rookie college student
- 🏀: Basketball fans
chenyanzhan Goto Github PK
Name: Chenyanzhan
Type: User
Name: Chenyanzhan
Type: User
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
复现周志华老师西瓜书中AdaBoost算法,基学习器采用单层的二分类决策树,适合机器学习初学者进行公式的理解
一些常见的书籍pdf或者视频
A place for keeping thillRobot CARLA related software and docs.
A Windows/macOS GUI based on Clash
A homework for Complex Networks and Big Data
Deep Deterministic Policy Gradient Based parameter control in Particle Swarm Optimization
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
multi-agent deep reinforcement learning for large-scale traffic signal control.
High-speed Autonomous Drifting with Deep Reinforcement Learning
A safe and efficient autonomous driving algorithm. Winner of the 2019 DriveML Huawei Autonomous Vehicles Challenge. Built using RLLib and SUMO.
(T-ITS) Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
This is repository contains project about traffic light management system based on machine learning
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
:books: Freely available programming books
Google Research
An OpenAI gym wrapper for CARLA simulator
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
https://hrl.boyuai.com/
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
personal learning
吴恩达老师机器学习课后习题python版本,新人一枚,记录学习过程
My blogs and code for machine learning. http://cnblogs.com/pinard
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
The toturial of how to use mmdetection3d for the pure lidar data
The experimental code script and material.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.