edge-ai

There are 218 repositories under edge-ai topic.

  • FedML-AI/FedML

    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.

    Language:Python3.9k94329761
  • Olares

    beclab/Olares

    Olares: An Open-Source Personal Cloud to Reclaim Your Data

    Language:Go2.5k214464
  • mit-han-lab/once-for-all

    [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

    Language:Python1.9k5275345
  • MaixPy-v1

    sipeed/MaixPy-v1

    MicroPython for K210 RISC-V, let's play with edge AI easier

    Language:Python1.7k95419450
  • DT42/BerryNet

    Deep learning gateway on Raspberry Pi and other edge devices

    Language:Python1.6k10648231
  • Picovoice/speech-to-text-benchmark

    speech to text benchmark framework

    Language:Python666291269
  • anilsathyan7/Portrait-Segmentation

    Real-time portrait segmentation for mobile devices

    Language:Jupyter Notebook6542653136
  • MaixPy

    sipeed/MaixPy

    Easily create AI projects with Python on edge device

    Language:Python60186980
  • Azure/AI-in-a-Box

    AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

    Language:Jupyter Notebook5862428197
  • mit-han-lab/tiny-training

    On-Device Training Under 256KB Memory [NeurIPS'22]

    Language:Python48517868
  • qijianpeng/awesome-edge-computing

    A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

  • hailo-ai/hailo_model_zoo

    The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

    Language:Python42124053
  • sony/model_optimization

    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.

    Language:Python3832214164
  • microsoft/nn-Meter

    A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

    Language:Python358135061
  • magic-blue-smoke/Dual-Edge-TPU-Adapter

    Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

  • F33RNI/GPT-Telegramus

    đź’ś 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!

    Language:Python3481077103
  • dusty-nv/NanoLLM

    Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

    Language:Python316106753
  • bdtinc/maskcam

    Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.

    Language:Python247172683
  • neuralet

    galliot-us/neuralet

    Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

    Language:Python242377871
  • solo-server

    GetSoloTech/solo-server

    Server for Physical AI Inference

    Language:Python2427623
  • FaceOnLive/Spleeter-Android-iOS

    On-device, Offline Spleeter Solution For Mobile

    Language:Java21612049
  • Lizonghang/TPI-LLM

    TPI-LLM: Serving 70b-scale LLMs Efficiently on Low-resource Edge Devices

    Language:Python1711512
  • sipeed/MaixPy3

    Python sdk for Sipeed Maix-II-Dock(v831). Other board please use https://github.com/sipeed/MaixPy

    Language:Python171144142
  • fedn

    scaleoutsystems/fedn

    An enterprise-ready and vendor-agnostic federated learning platform.

    Language:Python161710737
  • hailo-ai/tappas

    High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices

    Language:C++1546056
  • galliot-us/smart-social-distancing

    Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

    Language:Python14192440
  • edge-video-services/ekya

    Source code and datasets for Ekya, a system for continuous learning on the edge.

    Language:Jupyter Notebook1055521
  • hailo-ai/hailort

    An open source light-weight and high performance inference framework for Hailo devices

    Language:C++1035041
  • ShawnHymel/tflite-speech-recognition

    Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.

    Language:Jupyter Notebook975952
  • PIC4SeR/AcT

    Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).

    Language:Python9431518
  • wangxb96/Awesome-EdgeAI

    Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"

  • intel-iot-devkit/people-counter-python

    Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

    Language:JavaScript9219547
  • otroshi/edgeface

    EdgeFace: Efficient Face Recognition Model for Edge Devices [TBIOM 2024] the winner of compact track of IJCB 2023 Efficient Face Recognition Competition

    Language:Jupyter Notebook84109
  • borhanMorphy/fastface

    Light Face Detection using PyTorch Lightning

    Language:Python832310
  • intel-iot-devkit/smart-retail-analytics

    Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.

    Language:Python7811445
  • intel-iot-devkit/people-counter-cpp

    Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

    Language:C++7120928