shjwang's repositories
2020MCM
2020美赛的个人参赛经验,附美赛备战资料以及C题M奖论文
2021MCM-D-Outstanding-Winner-and-INFORMS-Award
开源本人参加2021美赛时的部分代码,感谢我的两位队友与训练营的老师前辈们,大家共同努力才能斩获顶奖。
Advanced_Probability_Theory
Materials for Probability Theory and Modelling
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Beautiful-Visualization-with-python
python数据可视化之美
Beautiful-Visualization-with-R
《R语言数据可视化之美》配套代码
clash_for_windows_pkg
A Windows/macOS GUI based on Clash
coursera-sna
Lecture Materials & Video (march 2013)
deeplearningbook-chinese
Deep Learning Book Chinese Translation
ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Excel-Chart-Plugin-EasyCharts
Excel图表插件:EasyCharts1.0
GNAR_code
Code for the GNAR model (by Xuening Zhu).
How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
ivreghdfe
Run IV/2SLS with many levels of fixed effects (i.e. ivreg2+reghdfe)
LaTeX-PPT-Template
Seven awesome latex ppt templates for researchers or students.
lihang-code
《统计学习方法》的代码实现
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
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
MEME.decomposition
This package makes MEME index decompositions
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
NAR
The code for network autoregression model (NAR)
NetworkAnalysis
Coursera-SNA
PM2.5-attr-mort
An Integrated Calculate Program for PM2.5 Health Burden Assessment
R-D3-SNA-Course-Example
A simple example using R and D3.js for show the examples of SNA Course in Coursera
SciencePlots
Format Matplotlib for scientific plotting
Social_and_Economic_Networks_Models_and_Analysis
Social and Economic Networks Models and Analysis