List of smaller LLMs that could be dpeloyed to the Edge
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Updated
Apr 25, 2024 - Ruby
List of smaller LLMs that could be dpeloyed to the Edge
This repository contains the full source code and setup for Camvisiotech, designed for Kendryte's KP10-based boards, specifically using the Maixduino by Sipeed. Developed for CircuitDigest's IoT and Edge AI Challenge 2024, this version includes WiFi functionality, making it accessible to users without GSM connectivity.
Repository for Intel Edge AI for IoT projects. Computer vision projects applicable to the service, manufacturing, and transport industry. Another project controls the computer mouse using eye gaze and head pose estimation.
This project discusses implementation of deep learning model deployment for vibration prediction of motor
Demonstrates the ability to run multiple models on the OpenVINO toolkit on one edge device to control a computer pointer by staring at different locations on the screen
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.
Code to Deploy mlops-level-4 infrastructure to AWS
ElderWand-JetsonNano is an AI-powered gesture recognition system for NVIDIA Jetson Nano. It uses CUDA-accelerated OpenCV to detect wand movements in real-time, triggering GPIO actions like controlling lights or unlocking a solenoid lock. Designed for the Jetson AI Ambassador Program.
An object dection models toolkit: Quantization, Pruning and modular Inference, enriched with metrics
Darcy AI Engine is a Python library for building AI apps
The people counter application demonstrated how to create a smart video IoT solution using Intel® hardware and software tools. The app detects people in a designated area and provide the number of people in the frame, average duration of people in frame, and the total count.
Object detection using tiny-YOLOv3 on a Raspberry Pi with the help of the Intel OpenVINO library and an Intel Neural Compute Stick 2 as featured in my Medium article "Edge AI - Computer vision inference on the edge".
Tool for recording BLE data into a .csv dataset.
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
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.
Build custom queuing systems for the retail, manufacturing and transportation sectors and use the Intel® DevCloud for the Edge to test your solutions performance.
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
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