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Maomao Shen's Projects

531w20 icon 531w20

STATS 531 (Winter 2020) ‘Analysis of Time Series’

airport-simulation.py icon airport-simulation.py

Python program that simulates the queuing systems at a small airport from customer arrival to departure

bitcoin_book_2nd icon bitcoin_book_2nd

Mastering Bitcoin 2nd Edition 精通比特币(第二版)-- 区块链编程

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

covid19-literature-clustering icon covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

dc_hbc icon dc_hbc

第二届“智慧**杯”数据科学大赛,皇包车(HI GUIDES)精品旅行服务成单预测竞赛

desaster icon desaster

A discrete event disaster recovery simulation built on top of the Simpy discrete event simulation Python library.

desmod icon desmod

Discrete Event Simulation Modeling framework for SimPy

emergency_room_simulation icon emergency_room_simulation

simulating the environment of a busy Emergency Room (ER) for a hospital. As patients arrive at the ER, they are placed in a queue to wait to be examined by a doctor. However, in an ER, patients are first screened to determine the severity of their injury or illness to ensure that the most urgent cases are handled first.

knowledge-base icon knowledge-base

A knowledge share repository for Tsinghua University Information Management and Information Systems.

lagrangianrelaxation icon lagrangianrelaxation

Implementation of Lagrangian Relaxation Method for approximating constrained optimization problems

lantern icon lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

mdp icon mdp

Implementation of algorithms for MDPs and controlled discrete-time queues.

multi-arm-bandit icon multi-arm-bandit

Implementation of diferent basic techniques to estimate value functions in stationary environments, also called Multi Arm Bandit Problems. Reference: Reinforcement Learning An Introduction by R.Sutton and A.Barto.

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