jeverding Goto Github PK

benchmark-stata-r

Speed benchmark of Stata and R on common data manipulations

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

deep-learning-in-medical-imaging

Classification project for biomedical imaging and diagnostics.

dml-iv-estimation

Project on parental health returns to children's education using double machine learning and instrumental variables regression

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dplyr

dplyr: A grammar of data manipulation

drdid

Doubly Robust Difference-in-Differences Estimators

get-work-hours-between-dates

Simple function which flexibly calculates and returns the work hours between two time stamps.

googlesite

For hosting files on my Google Sites page

grf

Generalized Random Forests

keras

R Interface to Keras

labor-supply-cross-effects

lbv-bot

Very basic web scraping bot helping to book appointments at LBV (DMV equivalent in Germany)

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

mlr3

mlr3: Machine Learning in R - next generation

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

pycaret

An open-source, low-code machine learning library in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quality-mass-processing

Dynamic SQL script to pull and process German hospital quality reports from XML files.

randomforest

:exclamation: This is a read-only mirror of the CRAN R package repository. randomForest — Breiman and Cutler's Random Forests for Classification and Regression. Homepage: https://www.stat.berkeley.edu/~breiman/RandomForests/

ranger

A Fast Implementation of Random Forests

sales-hat

Sales prediction exercise using basic pre-processing, ML, econometrics, and some model selection/benchmarking.

scikit-learn

scikit-learn: machine learning in Python

shap

A game theoretic approach to explain the output of any machine learning model.

soep-unemployment-health-spillovers

Replication code for Everding and Marcus (2020, Health Economics), combining DiD estimation, Lasso regressions, and entropy balancing

sqlflow

Brings SQL and AI together.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensorflow

An Open Source Machine Learning Framework for Everyone