A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
47,133 repositories indexed
1–6 of 6 · Most stars
A game theoretic approach to explain the output of any machine learning model.
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Easy to use Python library for creating 2D arcade games.
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
🇪🇺 Resources and Learning Games for European Romance Language Communication