topepo/caret

Easily install and load the tidymodels packages

A tidy unified interface to models

mlr3: Machine Learning in R - next generation

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

🌌 The R easystats-project

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

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.

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.