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Bio: SIGS of Tsinghua | Logistic Engineering and Management
Type: User
Bio: SIGS of Tsinghua | Logistic Engineering and Management
Branch-and-Price implementation for TDM configuration problem
learn from Paper named: Solving two-stage robust optimization problems using a column-and-constraint generation method
cellular automata for pedestrian dynamics
Cplex java api tutorial in Chinese
A collection of datasets of ML problem solving
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
基于Pytorch的Bert应用,包括命名实体识别、情感分析、文本分类以及文本相似度等
Exact algorithm implementation based on Cplex Java API
通过元胞自动机和CNN预测华盛顿州亚洲大黄蜂分布和分类
毕设文章以及文中的MATLAB,以及那段时间帮同学们写的MATLAB编码。元胞自动机(Cellular Automata),遗传算法(Genetic Algorithm)。⬅↖⬆↗➡↘⬇↙↪↩🔄🧡💛💙💚💜🖤💕💞💖💝💥
《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
Hidden Markov Models in Python, with scikit-learn like API
Contains all code related to using HMMs to predict stock market prices.
A Java Stochastic Dynamic Programming Library
数学建模美赛2019-D题,使用元胞自动机模拟人员逃脱。
通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
An arcpy based HMM map matching tool
A Python implementation of Naive Bayes from scratch.
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
指针网络+强化学习 解决旅行商(TSP)问题
Prediction of Future location using Hidden Markov Model
Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing
A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows
movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern University, August 15-18, 2022.
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