Pinned Repositories
DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
interpretable-ml-book
Book about interpretable machine learning
Keras_Hyperparameter_Tuning
This code does a hyperparameter grid search on a neural network. The hyperparameters searched through are epochs, batches, and optimizers.
non-farmers
This repository is for the work "Do non-farmers pay more for land than farmers?" and contains the code for the paper.
quantitative_tutorial
Prediction of crop using Classification modelling
RiskManangementHUBerlin
shortleaf
Chrome browser extension that adds customizable keyboard shortcuts to the Overleaf online latex editor.
Temperature-effects-replication
R Code for the publication "Temperature effects on crop yields in heat index insurance".
templates
Templates of all kind
lwschm's Repositories
lwschm/quantitative_tutorial
Prediction of crop using Classification modelling
lwschm/DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
lwschm/EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
lwschm/interpretable-ml-book
Book about interpretable machine learning
lwschm/Keras_Hyperparameter_Tuning
This code does a hyperparameter grid search on a neural network. The hyperparameters searched through are epochs, batches, and optimizers.
lwschm/non-farmers
This repository is for the work "Do non-farmers pay more for land than farmers?" and contains the code for the paper.
lwschm/RiskManangementHUBerlin
lwschm/shortleaf
Chrome browser extension that adds customizable keyboard shortcuts to the Overleaf online latex editor.
lwschm/Temperature-effects-replication
R Code for the publication "Temperature effects on crop yields in heat index insurance".
lwschm/templates
Templates of all kind