scikit-posthocs

JAX

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

XGBoost

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

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.

DLIB

A toolkit for making real world machine learning and data analysis applications in C++