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/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/boosting-gbdt
采用gbdt算法预测交通流量
ITS-PLAY/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
ITS-PLAY/free-programming-books
:books: Freely available programming books
ITS-PLAY/machine-learning-systems-design
A booklet on machine learning systems design with exercises
ITS-PLAY/traffic_signal_sim_cookbook
Repository for Traffic Signal Simulation Cookbook Source codes and examples
ITS-PLAY/mlflow
Open source platform for the machine learning lifecycle
ITS-PLAY/apollo
An open autonomous driving platform
ITS-PLAY/Dig-into-Apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
ITS-PLAY/algo
数据结构和算法必知必会的50个代码实现
ITS-PLAY/analytics-zoo
Distributed Tensorflow, Keras, PyTorch and BigDL on Apache Spark
ITS-PLAY/compile-based-on-MongoDB-and-Cpp
编译Mongo-cxx-driver,boost_1_67_0,scons，生成C++调用的dll，开发基于C++的MongoDB数据库操作代码
ITS-PLAY/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).
ITS-PLAY/IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
ITS-PLAY/flow
Computational framework for reinforcement learning in traffic control
ITS-PLAY/RLzoo
Reinforcement Learning Model Zoo with TensorLayer
ITS-PLAY/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ITS-PLAY/spinningup
An educational resource to help anyone learn deep reinforcement learning.
ITS-PLAY/traffic-control-based-RL
allocate green time of traffic light based on RL
ITS-PLAY/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
ITS-PLAY/trajectory-data-processing
Electronic police data for vehicle tracking and traffic flow backtracking, shortest path
ITS-PLAY/data_diagnose
identify data latency, data miss, data anomaly in traffic data, HMM, EM
ITS-PLAY/AI-blog
Accompanying repository for Let's make a DQN / A3C series.
ITS-PLAY/reinforcement-learning-code
ITS-PLAY/rl-texplore-ros-pkg
Automatically exported from code.google.com/p/rl-texplore-ros-pkg
ITS-PLAY/little-tsp
A C++ implementation of the branch and bound TSP algorithm described by Little et al in their 1963 paper
ITS-PLAY/branch-and-bound
A collection of utilities for implementing branch-and-bound with DFS, BrFS, BFS, and CBFS