Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud
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Updated
Dec 17, 2024 - Jupyter Notebook
Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud
Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.
This is our idea submission for the Nvidia hack in AI hack 2022.
Chameleon: An efficient continuous adaptation framework based on NVIDIA TAO.
How to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection.
This repository includes the Colab notebooks used for the AutoML benchmarking study (object detection), and some of the FiftyOne scripts used to generate the datasets.
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