A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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A game theoretic approach to explain the output of any machine learning model.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
An all-inclusive Python framework for the Riot Games League of Legends API. Cass focuses on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.
Apache Druid client for Elixir
Gameanalytics.com client implementation for libGDX
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)
:game_die: Neutrino research