AIXD
AI-eXtended Design
Introduction
Welcome to AI-eXtended Design (AIXD), an innovative open-source Python package designed to revolutionize parametric design with the power of modern Machine Learning (ML) algorithms. AIXD is your go-to toolkit for design evaluation, generation, exploration, and optimization, seamlessly blending parametric modeling with AI capabilities.
Key Features
Generative Power:
AIXDempowers you to easily train generative AI models, such as Conditional Autoencoders. This enables the creation of designs that not only push the boundaries of creativity but also meet the specific performance constraints of your project, advancing design exploration.Surrogate Modeling: Easily create surrogate models for parametric problems using feed-forward neural networks, enhancing efficiency in design evaluation and optimization.
Versatility: Initially developed for the Architecture, Engineering, and Construction (AEC) industry,
AIXDis applicable to any parametric problem across diverse domains.Project-Specific and Low-Code: Tailor
AIXDto your project’s unique needs with its project-specific approach, all while enjoying the benefits of a low-code environment that accelerates your design workflow.
Join us in unlocking the potential of AI-Augmented Design – where parametric design meets the great possibilities of modern machine learning.
This webpage serves as the documentation for the AIXD library, providing detailed explanations, practical examples, and valuable insights to help you leverage the full potential of AIXD in your projects. For an even deeper dive into our work, we invite you to explore our repository.
