A curated list of awesome embedded programming.

Embedded and mobile deep learning research resources

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

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).

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 …

ACM Multimedia Asia 2023 (Tainan, Taiwan) – Grand Challenges

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).

Speech Recognition using STM32 and Machine Learning

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

JUCE Template plugins to use TensorFlow lite for deep learning inference

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 Co…

This project focuses on developing a method to measure human height using ultrasound sensors under challenging conditions caused by dense scalp hair.

web site of AI-performance. https://ai-performance.gitee.io/

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.

Explore NVIDIA Jetson AGX Xavier.

📝 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.

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

NPRACH UAD Neural Network implementation in Fixed point C.

Transfer Learning and Embedded AI with Pytorch