awesome.md (#2622)

README.md

@@ -3,8 +3,13 @@
 Official Documentation: <https://openxla.org/stablehlo>
 
 <picture>
-  <source media="(prefers-color-scheme: dark)" srcset="docs/images/assets/stablehlo_ecosystem_dark.svg">
-  <img alt="StableHLO Ecosystem" src="docs/images/assets/stablehlo_ecosystem.svg">
+  <source
+   media="(prefers-color-scheme: dark)"
+   srcset="docs/images/assets/stablehlo_ecosystem_dark.svg"
+   class="devsite-dark-theme">
+  <img
+  alt="StableHLO Ecosystem"
+  src="docs/images/assets/stablehlo_ecosystem.svg">
 </picture>
 
 StableHLO is an operation set for high-level operations (HLO) in machine

docs/_toc.yaml

@@ -27,6 +27,8 @@ toc:
     path: /stablehlo/reference
   - title: Roadmap
     path: /stablehlo/roadmap
+  - title: Awesome OpenXLA
+    path: /stablehlo/awesome
 - title: Tutorials
   section:
   - title: JAX Export to StableHLO

docs/awesome.md

@@ -0,0 +1,48 @@
+# Awesome OpenXLA
+
+<picture>
+  <source
+    media="(prefers-color-scheme: dark)"
+    srcset="https://raw.githubusercontent.com/openxla/xla/refs/heads/main/docs/images/openxla_dark.svg"
+    class="devsite-dark-theme">
+  <img
+    alt="OpenXLA Ecosystem"
+    src="https://raw.githubusercontent.com/openxla/xla/refs/heads/main/docs/images/openxla.svg">
+</picture>
+
+[OpenXLA](https://openxla.org) is open ecosystem of performant, portable, and
+extensible machine learning (ML) infrastructure components that simplify ML
+development by defragmenting the tools between frontend frameworks and hardware
+backends. Built by industry leaders in AI modeling, software, and hardware.
+
+**How is the community using OpenXLA?** This page consolidates links to
+repositories and projects using OpenXLA to provide inspiration and code pointers!
+
+**Have a project that uses OpenXLA?** Send us a pull request and add it to this page!
+
+## Frameworks
+
+- [JAX](https://github.com/jax-ml/jax) is a ML framework with a
+NumPy-like API for writing high-performance ML models <img align="center" src="https://img.shields.io/github/stars/jax-ml/jax?style=social">
+- [PyTorch/XLA](https://github.com/pytorch/xla/) provides a bridge from PyTorch
+to OpenXLA and StableHLO <img  align="center" src="https://img.shields.io/github/stars/pytorch/xla?style=social">
+- [TensorFlow](https://github.com/tensorflow/tensorflow) is a long-standing ML
+framework with a large ecosystem <img align="center" src="https://img.shields.io/github/stars/tensorflow/tensorflow?style=social">
+
+## PJRT Plugins
+
+- [libTPU](https://cloud.google.com/tpu/docs/runtimes) allows models to execute
+on Google's Cloud TPUs
+
+## Edge Compilation
+
+- [Google AI Edge](https://ai.google.dev/edge) uses StableHLO as an input format
+to deploy to mobile devices using [LiteRT](https://ai.google.dev/edge/litert)
+  - [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch) exports
+  PyTorch models for mobile deployment via StableHLO <img align="center" src="https://img.shields.io/github/stars/google-ai-edge/ai-edge-torch?style=social">
+
+## Tooling and Visualization
+
+- [Model Explorer](https://github.com/google-ai-edge/model-explorer) offers
+heirarchical graph visualization with support for StableHLO models
+<img align="center" src="https://img.shields.io/github/stars/google-ai-edge/model-explorer?style=social">