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machine-learning-nodes

《机器学习》-周志华（西瓜书）是一本了解机器学习知识比较全面的一本书。今年求职算法岗位时针对部分章节内容进行了整理和总结，并对其中的数学公式进行了手工推导。在此记录下自己的学习笔记。

machine-learning-notes

周志华《机器学习》手推笔记

machinelearning-watermelonbook

周志华-机器学习

matlab2python

This is a growing tutorial demonstrates some MATLAB examples and their equivalent code in Python

matlabtraffictoolbox

This is the matlab package for dynamic traffic assignments developed by the KULeuven

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.

mplight

network-api

Some useful tools for traffic network optimization(Python/GAMS)

networklpr

Some codes for the paper "Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data"

networkseir

ngsim-interface

Python package to process NGSIM data and traffic sensing with autonomous vehicles

numpy

Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library

phd-thesis

Manuscript of my PhD thesis.

poi

Search Point-Of-Interest (POI) on a Map [Homework][Urban Computing][release]

precipitation-prediction-convlstm-keras

Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest

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

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pythonleetcodepractice

Python Leetcode Practice: Te Xu

pythonvehicle

A vehicle simulator in Python designed to aid in electric vehicle powertrain selection.

pytorch-and-transferlearning

基于PyTorch使用迁移学习完成项目

pytorch-forecasting

Time series forecasting with PyTorch

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

queue-length-estimation-with-ai-methods

- Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights; - Create logs of vehicle trajectories or queue lengths; - With a machine learning based technique estimate the parameters of the said queueing model. Validate the results with SUMO.

reactive_traffic_lights

Emergency Vehicle Smart Grid to provide faster movement to emergency vehicles.

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-practice-zh

强化学习-中文笔记&资源-以python实例为主-由浅入深

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-agent-based-traffic-control

Develop agent-based traffic management system by model-free reinforcement learning

rl_signals

All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/