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ML Examples\n\nSource code for machine learning tutorials and examples used in [Arm's ML developer space](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material).\n\n## Projects and tutorials\n\n### Arm NN Mobilenet on Android\nDeploy a quantized TensorFlowLite MobileNet V2 model on Android using the Arm NN SDK.\n* Tutorial on Arm's developer site(Coming soon)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/armnn-mobilenet-android/README.md)\n\n### Arm Style Transfer on Android\nImplement a neural style transfer on Android with Arm NN APIs.\n* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/implement-a-neural-style-transfer-on-android-with-arm-nn-apis)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/armnn-style-transfer-android/README.md)\n\n### CMSIS pack based examples for Arm Corstone 300\nCMSIS project showing keyword spotting (KWS) and object detection on Arm® Corstone™-300.\n* Tutorial on Arm's developer site(Coming soon)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/cmsis-pack-examples/README.md)\n\n### Ethos-U on Corstone 300\nExplore the Arm® Corstone™-300 with Arm® Cortex™-M55 and Arm® Ethos™-U55 NPU.\n\n* Tutorial on Arm's developer site(Coming soon)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/ethos-u-corstone-300/README.md)\n\n### Multi-Gesture Recognition\nTrain a convolutional neural network from scratch to recognize multiple gestures in a wide range of conditions with TensorFlow and a Raspberry Pi 4 Model B or Pi 3.\n\n* [Tutorial on Arm's developer site](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-pi-multi-gesture)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/multi-gesture-recognition/README.md)\n\n### Fire detection on a Raspberry Pi using PyArmNN\nDeploy a neural network, trained to recognize images that include a fire or flames on a Raspberry Pi, using PyArmNN.\n* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/accelerate-ml-inference-on-raspberry-pi-with-pyarmnn)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/blob/main/pyarmnn-fire-detection/README.MD)\n\n### Pytorch to Tensorflow\nDeploy a Jupyter notebook that will demonstrate how to convert a model trained in PyTorch to Tensorflow Lite format.\n\n* Tutorial on Arm's developer site(Coming soon)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/pytorch-to-tflite/README.md)\n\n### RNN unrolling for Tf Lite\nDeploy a Jupyter notebook that will demonstrate how to train a Recurrent Neural Network (RNN) in TensorFlow, and then prepare it for exporting to Tensorflow Lite format by unrolling it.\n\n* Tutorial on Arm's developer site(Coming soon)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/rnn-unrolling-tflite/README.md)\n\n### Image recognition on MBED using CMSIS and TFLM\nDeply an image recognition demo on a Discovery STM32F746G board using TensorFlow Lite for Microcontrollers (TFLM) and CMSIS-NN.\n\n* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/image-recognition-on-arm-cortex-m-with-cmsis-nn)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/tflm-cmsisnn-mbed-image-recognition/README.md)\n\n### Yeah, World\nExplore gesture recognition with TensorFlow and transfer learning on the Raspberry Pi 4 Model B, Pi 3 and Pi Zero.\n\n* [Tutorial on Arm's developer site](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-raspberry-pi-yeah-world)\n* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/yeah-world/README.md)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farm-software%2Fml-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farm-software%2Fml-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farm-software%2Fml-examples/lists"}