tatia-tsiramua Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai_primer

AI primer - short course on ML/AI basics

awesome-economics

A curated collection of links for economists

bayesmar

Bayesian Median Autoregressive model for time series forecasting

blockchain-stuff

Blockchain and Crytocurrency Resources

bmr

Bayesian Macroeconometrics in R

bootcamp2019

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

c-lasso

The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2015): “Identifying Latent Structures in Panel Data”

causalimpact

An R package for causal inference in time series

causalml

A course on causal machine learning.

conquest

Jupyter Notebooks replication of The Conquest of American Inflation

data-analysis

Data Analysis for Economics

deeplearning.ai-summary

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.

dsge-forecasting_juliacon-2017

Using Parallel Computing for Macroeconomic Forecasting at the Federal Reserve Bank of New York (JuliaCon 2017 presentation)

econ5170

Econ5170@CUHK: Computational Methods in Economics (2019 Spring)

fecon235

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

hdeconometrics

Set of R functions for high-dimensional econometrics

imf_macro_forecasting_r

R code for the IMF edX course on Macroeconomic Forecasting

large-tvp-var

Trying to get "Large Time-Varying Parameter VAR" of Koop & Kurubillis (2013) done in R.

lasforecast

Time series forecasting with Lasso-type shrinkage methods

lbvar

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

msds-6373-time-series

Here is the one stop shop for ppts, docs and other materials related to the course!

nested-lstm

Keras implementation of Nested LSTMs

neural_decomposition

Neaural Decomposition (ND)

nowcasting

Nowcasting

pwc

Papers with code. Sorted by stars. Updated weekly.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

soecb-markov

Paper and source codes for Uncovering the Hit List for Small Inflation Targeters

summary

summaries of all the papers I read