Pinned Repositories
amlinear
Augmented minimax linear estimation
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-shiny-extensions
Awesome R packages that offer extended UI or server components for the R web framework Shiny
books
各类书籍
cheatsheets
RStudio Cheat Sheets
Data-Science-and-Economics
学习笔记-机器学习与经济学
jmxsy2016
Learning-visualization
Learning-visualization
lectures
Lecture notes for EC 607
macro_ML
Course Website on Macroeconomic Analysis with Machine Learning and Big Data
jmxsy2016's Repositories
jmxsy2016/Data-Science-and-Economics
学习笔记-机器学习与经济学
jmxsy2016/macro_ML
Course Website on Macroeconomic Analysis with Machine Learning and Big Data
jmxsy2016/awesome-causality-algorithms
An index of algorithms for learning causality with data
jmxsy2016/awesome-shiny-extensions
Awesome R packages that offer extended UI or server components for the R web framework Shiny
jmxsy2016/books
各类书籍
jmxsy2016/causalTree
Working repository for Causal Tree and extensions
jmxsy2016/finance-toolbox
我的投资电子书
jmxsy2016/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
jmxsy2016/Learning-visualization
Learning-visualization
jmxsy2016/lectures
Lecture notes for EC 607
jmxsy2016/npcausal
jmxsy2016/tushare
TuShare is a utility for crawling historical data of China stocks
jmxsy2016/cheatsheets
RStudio Cheat Sheets
jmxsy2016/jmxsy2016
jmxsy2016/bingo
Generate Bingo cards with R.
jmxsy2016/Book-Learning
Learning book notes
jmxsy2016/Causal_Inference
学术
jmxsy2016/causality-papers
jmxsy2016/CopyTranslator
Foreign language reading and translation assistant based on copy and translate.
jmxsy2016/forestry
jmxsy2016/hugo-notepadium
a fast gohugo theme, 100% JavaScript-free.
jmxsy2016/inverstment-papers
感觉有用的文章
jmxsy2016/lectures-1
Lecture material for Big Data in Economics (EC 410/510)
jmxsy2016/louvain_analysis
set of function for cluster analysis of io tables
jmxsy2016/MLheterogeneity
Estimating heterogeneity of treatment effect using machine learning, benchmarking Gradient Forest (Athey & Wager), Generic Machine Learning (Chernozhukov et al.) & Bayesian causal forest (Hahn et al.)
jmxsy2016/R
R website
jmxsy2016/renv-rspm
Testing renv and RStudio Package Manager
jmxsy2016/tsbox
tsbox: Class-Agnostic Time Series in R
jmxsy2016/tsDyn
tsDyn
jmxsy2016/what-they-forgot