dipsyliu's starred repositories

Math-Model-and-Machine-Learning

数学建模和机器学习的笔记和资料(持续更新中......)。

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PyEPO

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Language:Jupyter NotebookLicense:MITStargazers:430Issues:9Issues:9

L2D

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

Coluna.jl

Branch-and-Price-and-Cut in Julia

Language:JuliaLicense:NOASSERTIONStargazers:193Issues:12Issues:269

JobShopPRO

Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.

MQRNN

Multi-Quantile Recurrent Neural Network for Quantile Regression

Language:Jupyter NotebookStargazers:64Issues:1Issues:2

PhD-Thesis-Projects

This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

Language:PythonLicense:Apache-2.0Stargazers:63Issues:0Issues:0

SmartPredictThenOptimize

Code for the paper "Smart 'Predict, then Optimize'"

Language:JuliaLicense:MITStargazers:62Issues:1Issues:0

ReinforcementLearning

强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行

production-scheduling

Solving an item production scheduling problem with the help of mathematical optimization

branch-and-price-gurobi

Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.

Language:PythonLicense:MITStargazers:41Issues:1Issues:1

gurobi-official-examples

【中译版】Gurobi 官方教程

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:37Issues:3Issues:0

Chain-of-Experts

Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"

Neur2SP

Neur2SP: Neural Two-Stage Stochastic Programming

ABIP

Admm-based Interior Point Method for Linear Programming

Language:CLicense:MITStargazers:23Issues:3Issues:1

IJOC-TSDRO

A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse

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RO-DNN

Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz

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SNDHLP

A branch-and-price-and-cut algorithm for service network design and hub location problem

RTN-Demo

Pyomo and JuMP sample implementations of the Resource-Task Network scheduling MILP model

simulator-matching-function-validation

This project provides a simulator to calibrate and validate the matching functions used for shared mobility equilibrium models.

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BerthAllocation

A repository for the berth allocation problem

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robust-scenario-reduction-code

Code for scenario reduction in one- and two-stage robust optimization

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License:GPL-3.0Stargazers:2Issues:1Issues:0
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javabap

java :berth allocation problem

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