BeyondML is a framework for developing sparse neural networks that can perform multiple tasks across multiple data domains. This framework provides value to the community by:

• simplifying of the development and deployment of advanced machine learning capabilities for use on low-end devices and in dynamic environments characteristic of the resource-constrained edge
• reducing in the complexity and cost of deploying ML models or systems of models to cloud platforms
• reducing in the carbon footprint of deployed ML models

Contributed by: Squared AI in June 2022

The LF AI & Data TAC and Governing Board voted to archive this project effective Tuesday, June 3, 2025.