---
title: README
emoji: 👁
colorFrom: purple
colorTo: blue
sdk: static
pinned: false
---

# xrML

*Running quality models on XR devices.*

xrML is a community exploring on-device machine learning for extended reality. Our focus is practical ML for augmented, virtual, and mixed reality experiences.

## Our focus

- **Efficient inference:** Exploring models and optimization techniques suited to the compute, memory, and power constraints of XR devices.
- **On-device deployment:** Investigating how machine learning can run locally within interactive XR applications.
- **Practical experimentation:** Exploring the tradeoffs between model quality, responsiveness, and resource use on XR hardware.

## Supported repositories

We currently support two repositories:

- **[xrBench](https://github.com/Michael-RDev/xrBench):** A benchmarking toolkit for measuring native GPU execution time and checking numerical correctness on XR devices.
- **[xrGPU](https://github.com/Michael-RDev/xrGPU):** Native Vulkan compute kernels and runtime components for machine learning workloads on XR hardware.

## Have an XR device?

Visit **[xrBench](https://github.com/Michael-RDev/xrBench#getting-started)** to review the device requirements and get started with benchmarking.

## Follow our progress

Follow xrML on Hugging Face for updates on machine learning for XR devices.