Klaytuo's Stars
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
mwaskom/seaborn
Statistical data visualization in Python
iamseancheney/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
WillKoehrsen/Data-Analysis
Data Science Using Python
pyqtgraph/pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
datawhalechina/hands-on-data-analysis
动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果
tdpetrou/Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
gboeing/data-visualization
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
Gurobi/modeling-examples
Gurobi modeling examples
AIR-THU/DAIR-V2X
rohanchandra30/TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
sidewalklabs/sumo-web3d
Web-based 3D visualization of SUMO microsimulations using TraCI and three.js.
Tlab-seu/traffic-big-data-theory-and-applications
《交通大数据理论与方法》
DaRL-LibSignal/LibSignal
andim/noisyopt
Python library for optimizing noisy functions.
Improbable-AI/eipo
Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
tkn-tub/veins-gym
Reinforcement Learning-based VANET simulations
Maunish-dave/Dynamic-Traffic-light-management-system
This is repository contains project about traffic light management system based on machine learning
astyonax/heartbeat-traffic
Visualization of car traffic in Paris from data published by the OpenData-Paris project.
Mingtzge/MiVeCC_with_DRL
This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.
keim-hs-esslingen/ki4robofleet
A Simulation Environment based on SUMO to analyze Scenarios for autonomous driving vehicles in Cities
CHNEWUAF/SciencePlots
Matplotlib styles for scientific plotting
alexDS12/traffic-light-dqnagent
Deep Q-Learning traffic light agent using Reinforcement Learning to maximize efficiency in a custom SUMO environment
abhirams2020/Traffic-Signal-Optimization
Project to improve the efficiency of traffic signal control and reduce traffic delay at intersections by using various optimization algorithms.
MorrisQiu/RLTrafficSignalControl
Project Reinforcement Learning (RL) for Traffic Light Control (TLC)
hwangsaeyeon/Suffer-SUMO-RL
sumo-rl training 2 way single intersection using reinforcement learning
Shulu-Chen/Multi-agentRL_RM
FwDeng/sumo-web3d
Web-based 3D visualization of SUMO microsimulations using TraCI and three.js.
kyle-masters/sumo_rl_cs5640