⭐️ aw-art

Experiments with Unity, Anything World, and various other AI/ML frameworks (Torch.NET, TensorFlow).

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🌟 Automatic Scene Generation

Please jump around the tutorial on Automatic Scene Generation to get an overview of Anything World (AW), Unity, C#, and python for game/world building.

🌟 Automatic Speech Recognition

Please jump around the tutorial on Automatic Speech Recognition to get an overview of on building statstical models of speech.

🌟 Computational User Interfaces

Please jump around the tutorial on Computational User Interfaces to get an overview of building interfaces that live in a browser, or natively on some operating systems.

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🔥 Resources

Things we keep in our game design and machine learning back pockets.

User Interface Design

• Design Language Systems
  • Material Design
  • Carbon
  • 🍎
  • Skeuomorphism
  • Neumorphism

Game Design

• Game Design
  • Role-playing models
  • Software applications
  • Game theory

Machine Learning

• Machine Learning 🧠

  • Computational learning theory
  • Grammar inference
  • Meta learning

• Machine Learning + 🧠 🧠

  • Generative Adversarial Neural Networks
    • Making Pictures With Generative Adversarial Networks - Casey Reas
  • Quantum machine learning
    • Quantum enhancements for deep reinforcement learning in large spaces

• Machine Learning Methods 🎣

  • Reinforcement learning
  • Supervised learning
  • Deep Learning
  • Beyesian

• Machine Learning Tools 🔧

  • Open source machine learning frameworks = {Caffe, PyTorch, TensorFlow, Torch, CNTK, ➰}

• Machine Learning Environments 💿 🎮 👾

  • OpenAI gym
  • OpenAI Roboschool
  • VizDoom
  • Unity

• Machine Learning Books 📖

  • Hands-On Machine Learning with Scikit-Learn and TensorFlow
  • Foundations of Deep Reinforcement Learning: Theory and Practice in Python

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