Stars
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
Text and code for the second edition of Think Bayes, by Allen Downey.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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
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.