Justin2175

Justin2175's Stars

• unclestrong/DeepLearning_LHY21_Notes

  深度学习 李宏毅 2021 学习笔记

  Language:HTML1.5k410

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition

  Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

  Language:Jupyter Notebook1.1k535

• arpit23697/Railway-Scheduling-using-RL-BTP-

  This Project is Ongoing BTP project

  Language:Jupyter Notebook1

• PolarisRisingWar/lihongyi-2021-colab

  本人在学习李宏毅老师2021年机器学习深度学习课程时使用的colab文件

  Language:Jupyter Notebook83

• Fafa-DL/Lhy_Machine_Learning

  李宏毅2021/2022/2023春季机器学习课程课件及作业

  Language:Jupyter Notebook6.1k1.6k

• rlcode/reinforcement-learning

  Minimal and Clean Reinforcement Learning Examples

  Language:Python3.4k727

• mcpeer/tusp-archive

  Application of Deep Reinforcement Learning to Train Unit Shunting Problem (Master Thesis)

  Language:Jupyter Notebook41

• Awesome-Windows/Awesome

  :computer: 🎉 An awesome & curated list of best applications and tools for Windows.

  28.7k2.4k

• woruoweikunlun/gurobi_docplex_model_input

  提供gurobi和docplex集合语言建模输入模型的样例，方便对比学习

  Language:Python4

• wurmen/Gurobi-Python

  Learning how to use gurobi with python (in chinese)

  Language:HTML24588

• YaoYuBJTU/VRPLite-python

  Language:Python79

• Tlab-seu/traffic-big-data-theory-and-applications

  《交通大数据理论与方法》

  Language:Python15339

• Operations-Research-Science/Ebook-An_introduction_to_robust_optimization

  36585

• Justin2175/Lagrangian-Relaxation-Algorithm-For-RRSLRP

  To solve the RRS-LRP problem based on resource-space-time network, we developed a Lagrangian Relaxation Algorithm framework to decompose the origin problem into classic knapsack sub-problem and vehicle routing problem with recharging station (VRP-RS). The knapsack problem is solved by dynamic programming algorithm and a dynamic programming algorithm in RST network is developed to solve the VRP-RS. The dual problem of adjusting the Lagrangian multipliers was solved by an ascent method using sub-gradients approach. The algorithm framework is naturally suitable for parallel computing and distributed computing techniques due to the decomposition structure.

  2

• songmaocan/Shortest-path-TSP-and-dual-problem

  Language:GAMS1

• Justin2175/cTORS

  cTORS is a c++ implementation of TORS, a train shunting and servicing simulator

  1

• TUIASI-AC-enaki/Knapsack-NSGA-2

  The knapsack problem with nsga-2

  Language:C#13

• zenghongtu/saladict-desktop

  ✨✨桌面划词与翻译工具，聚合了 N 多词典，功能强大，支持 Windows 、 Mac 和 Linux。

  Language:JavaScript39445

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  46.9k2.8k

• DubingXiang/Column-Generation-and-Lagrangian-Relaxation

  Language:C#41

• gaotianze/Network-Flows-learning-notes

  "Network Flows" learning notes. About the program recurrence please move to "Python code" repository on my Github.

  Language:Python2

• getlantern/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 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت

  Language:Go14.5k11.3k

• zxch3n/PomodoroLogger

  Pomodoro Logger :clock930: -- When a time tracker meets Pomodoro and Kanban board

  Language:TypeScript997123

• OlittleRer/Code

  运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。

  Language:Python21660

• ShiqinHuo/Numerical-Optimization-Books

  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)

  29890

• JinleiZhangBJTU/Transportation_with_Machine_Learning

  交通·未来系列线上公益学术活动PPT

  10921

• YaoYuBJTU/ADMM_Python

  Solomon benchmark instances

  Language:Jupyter Notebook2626

• LuCarolTong/Beijing-Transportation-Research-Network

  Seminars on tranportation

  3

• xchChen/CACSP_ADMM

  The C# code of multi-robot coordination and scheduling framework using ADMM solution method

  Language:C#62

• xzhou99/TrainTimetablingLite

  Light weight code for single track train timetabling using branch and bound

  Language:C++133