Our Work

🤖 AI Fundamentals

An open source textbook focused on AI, starting from the simple Ising Model and ending with Transformers and Neural Networks.

🚀 Core Features

  • 📂 Data Processing: Efficient handling of structured and unstructured datasets.
  • 🧠 Machine Learning Models: Frameworks for AI model training and inference.
  • 📊 Visualization Tools: Graphs and charts for interpreting AI-generated outputs.
  • 🔌 API & Web Connectivity: Supports integration with external AI services.

🏗️ Technical Breakdown

  • Backend: Python-based AI engine optimized for data processing.
  • ML Libraries: TensorFlow, PyTorch, Scikit-learn.
  • Data Handling: Pandas, NumPy, and JSON-based workflows.
  • Visualization: Matplotlib, Seaborn, and custom dashboard interfaces.

🎨 Art & AI Code/Docs

An open source code repo filled with starter code for AI projects, complete with lengthy documentation and novel AI.

🚀 Core Features

  • 🖼️ Generative Art: AI-assisted image and video creation tools.
  • 🎶 Audio Processing: Sound synthesis and transformation capabilities.
  • 📜 Documentation & Research: Well-structured guides for AI-art workflows.
  • 🌐 Web & API Support: Connects with creative AI platforms for enhanced functionality.

🏗️ Technical Breakdown

  • Image Processing: OpenCV, Pillow, Stable Diffusion models.
  • Audio Processing: Librosa, ffmpeg, and SuperCollider integration.
  • Web Tools: Flask, FastAPI, and interactive UI frameworks.
  • File Support: Handles multiple formats for seamless media conversion.

🛠️ License: GPLv3

All our code is built with the GNU General Public License v3 (GPLv3), unless otherwise noted. This ensures that:

  • 🆓 Everyone has the freedom to use, modify, and distribute the code.
  • 🔄 Any modifications or derivative works must also be open-source under GPLv3.
  • 🏴‍☠️ No one can take the software private—it stays free forever!

For more details, see GNU GPLv3.

preload imagepreload image