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Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution.

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

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.

Am I missing your favorite model? Is there something that could be cleaner / less confusing? Did I mess something up?

Minimal and clean examples of machine learning algorithms implementations

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.