There are 12 repositories under edge-ai topic.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Real-time portrait segmentation for mobile devices
speech to text benchmark framework
On-Device Training Under 256KB Memory [NeurIPS'22]
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
💜 The best free Telegram bot for ChatGPT, Microsoft Copilot (aka Bing AI / Sidney / EdgeGPT), Microsoft Copilot Designer (aka BingImageCreator), Gemini and Groq with stream writing, requests with images, multiple languages, admin control, data logging and more!
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
On-device, Offline Spleeter Solution For Mobile
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Source code and datasets for Ekya, a system for continuous learning on the edge.
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.
Light Face Detection using PyTorch Lightning
Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"
Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.