Fixed-effects estimations

An R-package for fitting glm's with high-dimensional k-way fixed effects

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

❗ This is a read-only mirror of the CRAN R package repository. PowerUpR — Power Analysis Tools for Multilevel Randomized Experiments

Surrogate Modeling Toolbox

Text and code for the second edition of Think Bayes, by Allen Downey.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Regression and other stories R examples

Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Image-based plant disease prediction using CNNs

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 …

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