Data, Code and other material for CodeChella concert

A PhD course in Applied Econometrics and Panel Data

Probabilistic time series modeling in Python

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Empirical Economics with R

Course contents for Master the Tidyverse

Deep Learning for Coders, 2020, the website

Machine Learning Estimation of Heterogeneous Causal Effects

Implementation of Double Machine Learning

LATEtest

Generalized Random Forests

Working repository for Causal Tree and extensions

Machine learning in economic analysis

The fastai book, published as Jupyter Notebooks

Code from live exploratory analyses of data in R

Code and examples from Business Data Science

The GErman Taxes and Transfers SIMulator

❗ This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu

Double Machine Learning for Multiple Treatments

Computational Data Analytics for Economists

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Lecture notes for EC 607

Distributed Asynchronous Hyperparameter Optimization in Python

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Uplift modeling and causal inference with machine learning algorithms

PyTorch GPU implementation of the ES-RNN model for time series forecasting