shap / shap
A game theoretic approach to explain the output of any machine learning model.
shap / shap
lightgbm-org / 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.
catboost / 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.
interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
perpetual-ml / perpetual
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
google / yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Itz-Murali / Color-Pallet
A fast, open-source color toolkit for developers and designers. Explore colors, build palettes and gradients, convert formats and check contrast. Runs entirely in your browser.