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Name: Tatia
Type: User
Name: Tatia
Type: User
Code and hyperparameters for the paper "Generative Adversarial Networks"
AI primer - short course on ML/AI basics
A curated collection of links for economists
Bayesian Median Autoregressive model for time series forecasting
Blockchain and Crytocurrency Resources
Bayesian Macroeconometrics in R
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2015): “Identifying Latent Structures in Panel Data”
An R package for causal inference in time series
A course on causal machine learning.
Jupyter Notebooks replication of The Conquest of American Inflation
Data Analysis for Economics
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Using Parallel Computing for Macroeconomic Forecasting at the Federal Reserve Bank of New York (JuliaCon 2017 presentation)
Econ5170@CUHK: Computational Methods in Economics (2019 Spring)
Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Set of R functions for high-dimensional econometrics
R code for the IMF edX course on Macroeconomic Forecasting
Trying to get "Large Time-Varying Parameter VAR" of Koop & Kurubillis (2013) done in R.
Time series forecasting with Lasso-type shrinkage methods
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Here is the one stop shop for ppts, docs and other materials related to the course!
Keras implementation of Nested LSTMs
Neaural Decomposition (ND)
Nowcasting
Papers with code. Sorted by stars. Updated weekly.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Paper and source codes for Uncovering the Hit List for Small Inflation Targeters
summaries of all the papers I read
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.