zjutangxin

Economist, International Monetary Fund Ph.D in Economics, Stony Brook University

International Monetary FundWashington D.C.

Pinned Repositories

3D_Lane_Synthetic_Dataset
This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.
Language:Python00
afv_replication
Replication of "Financial Globalization, Inequality, and the Rising Public Debt (AER 2014)" using Open-source Libraries
Language:Fortran22
aiyagari_parallel
test using a simple aiyagari model
Language:Fortran00
intro_tool
Source Code for "Using Modern Programming Tools in Macroeconomics"
Language:Fortran12
mcd_inclusion
MCD inclusive growth book chapter
Language:Fortran00
ML-Quantamental
Machine Learning-Driven Quantamental Investing
Language:Python00
pollution_rep
Replication files for The Size Distribution of Firms and Industrial Water Pollution: A Quantitative Analysis of China in American Economic Journal: Macroeconomics
Language:R64
PyAEZ
PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.
Language:Jupyter Notebook20
Pytorch_Generalized_3D_Lane_Detection
PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'
Language:Python00
saving_glut
Working Directory for the Saving_Glut paper
Language:Fortran10

zjutangxin/pollution_rep
Replication files for The Size Distribution of Firms and Industrial Water Pollution: A Quantitative Analysis of China in American Economic Journal: Macroeconomics
Language:R64
zjutangxin/afv_replication
Replication of "Financial Globalization, Inequality, and the Rising Public Debt (AER 2014)" using Open-source Libraries
Language:Fortran22
zjutangxin/PyAEZ
PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.
Language:Jupyter Notebook20
zjutangxin/intro_tool
Source Code for "Using Modern Programming Tools in Macroeconomics"
Language:Fortran12
zjutangxin/saving_glut
Working Directory for the Saving_Glut paper
Language:Fortran10
zjutangxin/3D_Lane_Synthetic_Dataset
This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.
Language:Python00
zjutangxin/aiyagari_parallel
test using a simple aiyagari model
Language:Fortran00
zjutangxin/mcd_inclusion
MCD inclusive growth book chapter
Language:Fortran00
zjutangxin/ML-Quantamental
Machine Learning-Driven Quantamental Investing
Language:Python00
zjutangxin/Pytorch_Generalized_3D_Lane_Detection
PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'
Language:Python00