# Tag: ExecuTorch

## Learning paths

- [Classify pet images with DeiT-Tiny and Arm VGF using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/deploy-deit-tiny-with-vgf/)
- [Inspect model artifacts and runtime profiles with Google Model Explorer and Arm extensions](https://learn.arm.com/learning-paths/cross-platform/explore-model-artifacts-with-model-explorer/)
- [Analyze machine learning models for Arm Ethos-U with Arm ML Inference Advisor](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/analyze-ethos-u-models-with-mlia/)
- [Run an Arm AI Portal depth estimation model on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-depth-anything-v2-on-android/)
- [Run parallel vision inference on an Alif Ensemble E8 with Zephyr](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/alif-dual-npu-vision/)
- [Run MobileSAM prompt segmentation on Arm Ethos-U85 with ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/deploy-mobilesam-on-ethos-u/)
- [Deploy models with the Arm AI Portal](https://learn.arm.com/learning-paths/cross-platform/ai-portal-model-deployment/)
- [Run an Arm AI Portal image segmentation model on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-image-to-image-models-on-android/)
- [Convert SmolVLA to ExecuTorch for inference on Arm CPUs](https://learn.arm.com/learning-paths/laptops-and-desktops/smolvla-executorch-conversion/)
- [Run optimized object-detection models from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-object-detection/)
- [Deploy Silero VAD on Arm Ethos-U with ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/silero-vad-ethos-u/)
- [Run optimized TinySD image generation from the Arm AI Portal on Arm-powered Android devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-tinysd-android/)
- [Run optimized image classification models from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-image-classification/)
- [Run Arm AI Portal text-generation models on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-text-to-text-models-on-android/)
- [Run optimized Whisper speech transcription models from the Arm AI Portal on Arm-powered Android devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-audio-to-text/)
- [Deploy a Zephyr-based machine learning application on Arm Corstone-320 MPS4 with ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/zephyr_ml_cs320_mps4/)
- [Quantize neural upscaling models with ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/)
- [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch/)
- [Prepare models for neural graphics with Arm neural technology](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/preparing-models-for-nt/)
- [Run ExecuTorch Llama 3.2 1B Instruct on an Android phone with Vulkan](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/executorch-vulkan-learning-path/)
- [Benchmark a KleidiAI micro-kernel in ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/measure-kleidiai-kernel-performance-on-executorch/)
- [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3/)
- [Visualize Ethos-U NPU performance with ExecuTorch on Arm FVPs](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/)
- [Edge AI on Arm: PyTorch and ExecuTorch rock-paper-scissors](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/)
- [Introduction to TinyML on Arm using PyTorch and ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/introduction-to-tinyml-on-arm/)
- [Deploy ExecuTorch firmware on NXP FRDM i.MX 93 for Ethos-U65 acceleration](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/observing-ethos-u-on-nxp/)
- [Build a customer support chatbot on Android with Llama and ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/customer-support-chatbot-with-llama-and-executorch-on-arm-based-mobile-devices/)
- [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/)
- [Profile ExecuTorch models with SME2 on Arm](https://learn.arm.com/learning-paths/cross-platform/sme-executorch-profiling/)
- [Deploy a machine learning application to the Arm Ethos-U65 NPU on NXP FRDM i.MX 93 with Topo](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/deploy-ml-model-to-npu-with-topo/)
- [Run image classification on an Alif Ensemble E8 DevKit using ExecuTorch and Ethos-U85](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/alif-image-classification/)