Pinned Repositories
Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
boosting-gbdt
采用gbdt算法预测交通流量
deep_learning_algo
常用的深度学习算法和机器学习算法，用scikit、keras和tensorflow编写
design_pattern
常用的设计模式，common design pattern completed by python
machine_learning_algo
常用的机器学习算法实践，python语言编写
multi_obj_optimization
基于延误最小或者排队最小的交叉口控制，支持生成自适应和定周期方案。
network_control
区域控制系统的框架和算法分析
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
traffic_control
根据毫米波雷达和视频融合数据，基于决策树算法，计算交叉口的相序和配时参数
traffic_index
基于毫米波雷达的目标检测数据，计算交通常见指标，如流量、速度、车头时距、车头间距、密度、排队长度、停车次数、通行能力等
ITS-PLAY's Repositories
ITS-PLAY/traffic_index
基于毫米波雷达的目标检测数据，计算交通常见指标，如流量、速度、车头时距、车头间距、密度、排队长度、停车次数、通行能力等
ITS-PLAY/traffic_control
根据毫米波雷达和视频融合数据，基于决策树算法，计算交叉口的相序和配时参数
ITS-PLAY/multi_obj_optimization
基于延误最小或者排队最小的交叉口控制，支持生成自适应和定周期方案。
ITS-PLAY/boosting-gbdt
采用gbdt算法预测交通流量
ITS-PLAY/machine_learning_algo
常用的机器学习算法实践，python语言编写
ITS-PLAY/network_control
区域控制系统的框架和算法分析
ITS-PLAY/deep_learning_algo
常用的深度学习算法和机器学习算法，用scikit、keras和tensorflow编写
ITS-PLAY/design_pattern
常用的设计模式，common design pattern completed by python
ITS-PLAY/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ITS-PLAY/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
ITS-PLAY/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
ITS-PLAY/book_DeepLearning_in_PyTorch_Source
ITS-PLAY/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
ITS-PLAY/CPlusPlusThings
C++那些事
ITS-PLAY/Deep-QLearning-Agent-for-Traffic-Signal-Control
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.
ITS-PLAY/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
ITS-PLAY/easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
ITS-PLAY/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
ITS-PLAY/effectivepython_test
learn effctive python book(version2)
ITS-PLAY/flask
ITS-PLAY/handson-ml2
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.
ITS-PLAY/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ITS-PLAY/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
ITS-PLAY/pybind11
Seamless operability between C++11 and Python
ITS-PLAY/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
ITS-PLAY/Python
All Algorithms implemented in Python
ITS-PLAY/python3-cookbook
《Python Cookbook》 3rd Edition Translation
ITS-PLAY/scipy
SciPy library main repository
ITS-PLAY/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
ITS-PLAY/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite