Zant simplifies the deployment and optimization of neural networks on microprocessors
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Updated
Oct 17, 2025 - Zig
Zant simplifies the deployment and optimization of neural networks on microprocessors
A comprehensive solution designed to streamline and enhance the deployment and management of infrastructure and applications at the edge
Neural-Kalman GNSS/INS Navigation for Precision Agriculture
The Edge Microvisor Toolkit is a streamlined container host that showcases the Intel silicon optimizations. Built on Azure Linux, it features a Linux Kernel maintained by Intel, incorporating all the latest kernel and user patches.
Detect faces and determine whether people are wearing mask.
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global…
This repository is to share the EdgeAI Lab with Microcontrollers Series material to the entire community. We will share documents, presentations and source code of two demo applications.
Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE
Cross-platform Edge AI application that translates spoken English into animated SignWriting in real time.
Darcy AI Engine is a Python library for building AI apps
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
Multi-Modality Multi-Node Vehicle Classification Dataset
Tool for recording BLE data into a .csv dataset.
Build custom queuing systems for the retail, manufacturing and transportation sectors and use the Intel® DevCloud for the Edge to test your solutions performance.
SnapDoc AI processes everything on-device, ensuring your sensitive information never leaves your control. Use voice and text on-device processing in organizations.
This repository contains code for running Convolutional Neural Networks (CNNs) on CircuitPython. It contains code to train models using Tensorflow on computers and convert them to CircuitPython.
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