Claim-Frequency-Forecast

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.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Machine learning, in numpy

Open-source simulator for autonomous driving research.

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

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.

Fit interpretable models. Explain blackbox machine learning.

A JavaScript deep learning and reinforcement learning library.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.