nhivp/Awesome-Embedded

A curated list of awesome embedded programming.

Size: 93.8 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 6,761 - Forks: 1,006

csarron/awesome-emdl

Embedded and mobile deep learning research resources

Size: 88.9 KB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 746 - Forks: 167

AI-performance/embedded-ai.bench

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

Language: Python - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 197 - Forks: 27

MicroAIInc/MicroAI-Atom-ESP32

MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

Language: C - Size: 1.75 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3

stgloorious/stm32-speech-recognition

Speech Recognition using STM32 and Machine Learning

Language: C - Size: 16.3 MB - Last synced at: about 11 hours ago - Pushed at: 11 months ago - Stars: 7 - Forks: 2

MicroAIInc/MicroAI-Atom-RaspberryPi3

MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

Language: Python - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 5

embedded-machine-learning/scripts-and-guides 📦

Language: Python - Size: 285 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 6

uncle-TT/Obstacle-on-Blind-Sidewalks-Dataset-and-Model-by-Tensorflow-2.3

This is an open source project on the deployment of deep learning to embedded microprocessors. The project establishes a data set for obstacle recognition of blind travel environment, and trains a simplified MoblieNet model in TensorFlow. Finally, the binary file of the model is deployed on the UNCLEO-STM32H7A3ZIT-Q development board to realize the function of obstacle detection of blind travel environment.

Language: C - Size: 14 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Embedded-Vision-AI/AutoSeatAdjust-EmbeddedAI

AutoSeatAdjust is an embedded AI project that uses real-time camera-based eye detection to automatically adjust the driver’s seat. It trains an XGBoost regression model on a dataset of eye coordinates mapped to seat positions, enabling the system to predict seat distance and height adjustments for optimal comfort and safety.

Language: Python - Size: 96.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 1

afondiel/awesome-smol

An awesome list of "small but mighty" models and resources.

Size: 142 KB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 2

domenicostefani/elk-audio-AI-tutorial

Guide to deploying neural networks in VST plugins, with a specific focus on embedded devices using the Elk Audio OS

Language: Jupyter Notebook - Size: 9.02 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

saivittalb/virtual-notepad Fork of va2465/virtual-notepad

📝 This project attempts to offer a new way to write that makes use of a specific tool that can detect the shapes you create with your hand in the air.

Size: 489 KB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

simeonbabatunde/embedded-deep-learning-for-autonomous-vehicles

This project focuses on the implementation of optimized Linear and DNN regression models for inter-vehicle distance prediction in a Cooperative Adaptive Cruise Control (CACC) application. It leverages Tensorflow Lite to create optimized models through quantization and pruning for realtime inferencing on Raspberry Pi and On-board Unit (OBU) of Connected Autonomous Vehicles.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

becauseofAI/nvidia-xavier

Explore NVIDIA Jetson AGX Xavier.

Language: Python - Size: 414 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

NguyenTrongPhuc552003/reinforcement-automative-hexapod

Intelligent hexapod control system with AI-based adaptive gait, kernel drivers, and user-space coordination.

Language: C++ - Size: 37.1 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

afondiel/Edge-AI-Model-Zoo

A curated lists of small and ready-to-deploy models optimized for Edge-AI applications.

Size: 248 KB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

MultiModel-Edge-AI/EdgeAI-Vision-pipeline

This project implements HOG feature extraction and XGBoost/Decision Tree classification on the COCO dataset, optimized for edge devices like the Jetson Orin NX, and the Kria KV260. It includes COCO data parsing, model training, and real-time inference for image classification.

Language: Python - Size: 77.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

ezekielmitchell/ComputerVision

A comprehensive repository showcasing algorithms, experiments, and applications focused on advanced visual processing techniques with emphasis on threat detection and error reduction for defense and robotics systems.

Language: Jupyter Notebook - Size: 199 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

afondiel/edge-vision

Practical Edge Vision Handbook.

Size: 51.8 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

afondiel/edge-ai-engineering

A comprehensive guide to Edge AI Engineering, focusing on core concepts, practical techniques, and best practices.

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mufarmem/edge-ai-engineering

A comprehensive guide to Edge AI Engineering, focusing on core concepts, practical techniques, and best practices.

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afondiel/Intro-to-On-Device-AI-Qualcomm

A comprehensive set of notes and resources for a crash course on deploying AI models on edge devices, provided by DeepLearningAI and taught by Krishna Sridhar from Qualcomm.

Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shashsuresh/Split_inference_microcontrollers_fork

This is the repository for my research internship with the Embedded Systems Group at TU Delft, based on Junyu Lu's master thesis - https://github.com/Eagleggs/Split_inference_microcontrollers

Language: Rust - Size: 280 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AI-FIREBUSTERS/ICIAP_ONFIRE

Here we present the trained model and the algorithm that let us win the ICIAP2023 ONFIRE contest

Language: Jupyter Notebook - Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

onaly/embedded_ai_pytorch

Transfer Learning and Embedded AI with Pytorch

Language: Python - Size: 6.94 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0