qualcomm/ai-hub-apps
Collection of sample apps and tutorials for deploying ML models on Qualcomm devices with optimized runtime support.
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The Qualcomm AI Hub Apps repository offers pre-built sample applications and end-to-end tutorials for running ML models on Qualcomm hardware. It supports multiple inference runtimes including TensorFlow Lite, ONNX, and the Genie SDK for generative AI workloads. Models can be deployed targeting CPU, GPU, or NPU (Hexagon HTP) across Android, Windows, and Ubuntu platforms, with optimizations for Snapdragon chipsets ranging from 8 Gen 2 through X Elite.
Frequently asked
- What is qualcomm/ai-hub-apps?
- Collection of sample apps and tutorials for deploying ML models on Qualcomm devices with optimized runtime support.
- Is ai-hub-apps open source?
- Yes — qualcomm/ai-hub-apps is open source, released under the BSD-3-Clause license.
- What language is ai-hub-apps written in?
- qualcomm/ai-hub-apps is primarily written in Python.
- How popular is ai-hub-apps?
- qualcomm/ai-hub-apps has 430 stars on GitHub.
- Where can I find ai-hub-apps?
- qualcomm/ai-hub-apps is on GitHub at https://github.com/qualcomm/ai-hub-apps.