A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
47,133 repositories indexed
1–13 of 13 · 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.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
🏰 An exciting game of programming and Artificial Intelligence
Game for learning how to code.
Easy to use Python library for creating 2D arcade games.
A self-hosted, open-source quiz platform for smaller events.
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.
Build a simple turn-based game to learn how to write production code using Hexagonal Architecture. Onboarding reference for Haraj Solutions Team.
🇪🇺 Resources and Learning Games for European Romance Language Communication
Der Code meines 4X-Rundenstrategiespiels. The Code of my 4X turn-based strategy game.
▶️ An awesome list of awesome Spanish YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.