volley168's Stars
toshiakit/MatGPT
MATLAB app to access ChatGPT API from OpenAI
springer-math/linear-programming-using-MATLAB
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.
automl/RoBO
RoBO: a Robust Bayesian Optimization framework
Ki-Seki/MOPSO-for-Distribution
一个疫情背景下应急物资配送算法:用改进后的多目标粒子群优化(MOPSO)算法解决带有风险矩阵的多辆车配送旅行商问题(TSP)
hermesespinola/FOA-Kmeans-Color-Image-Segmentation
Clustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm
wubaoyuan/Lpbox-ADMM
A generic optimization method for any integer programming problem
seanys/Transportation-and-Optimization-Notes
交通和优化理论笔记
lijlansg/TrafficGPT
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Charles117/resilience_shenzhen
The data and codes corresponding to the paper "Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach"
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
lorin/resilience-engineering
Resilience engineering papers
CxAalto/gtfspy
Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞
Resulte/digital-watermarking
数字水印技术,基于LSB图像信息隐藏
bstabler/TransportationNetworks
Transportation Networks for Research
peiss/ant-learn-pandas
pandas学习课程代码仓库
hangsz/pandas-tutorial
适合初级到中级晋升者,有了体系之后就看熟练度了。
Xiaoyang-Rebecca/PatternRecognition_Matlab
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
MenglinLu/LDA-based-on-partition-PLDA-
提出基于划分的LDA主题模型 (PLDA)。对传统LDA模型进行改进,考虑中长篇文档篇章结构较为清晰,传统LDA在处理中长篇文档时不能识别每个篇章的主题,提出基于划分的LDA主题模型,对中长篇文档如新闻报道】国务院工作报告等按照段落进行划分,先拆后合,并将其效果与传统LDA、LSI及doc2vec进行比较。基于Sougou和Fudan语料库的分类实验验证了PLDA效果最优。
volley168/OpenCV-
一些练习代码
fuhannan/learngit
USTC-Resource/USTC-Course
:heart:**科学技术大学课程资源
iperov/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
lawlite19/MachineLearning_Python
机器学习算法python实现
jackzhenguo/python-small-examples
告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com
ryansmcgee/seirsplus
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
zwdnet/2019-nCov-SIRmodel
2019新冠肺炎疫情染病人数预测,用SIR模型。
zhanwen/MathModel
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
jackfrued/Python-100-Days
Python - 100天从新手到大师
maxlicheng/stm32f4_ucosii_lwip_mqtt
基于正点原子STM32F4开发板和阿里云物联网平台的MQTT项目