Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: embedded-ai

nhivp/Awesome-Embedded

A curated list of awesome embedded programming.

Size: 104 KB - Last synced: 13 days ago - Pushed: 3 months ago - Stars: 5,160 - Forks: 845

csarron/awesome-emdl

Embedded and mobile deep learning research resources

Size: 88.9 KB - Last synced: 9 days ago - Pushed: about 1 year ago - Stars: 723 - Forks: 166

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: 7 months ago - Pushed: over 3 years ago - Stars: 197 - Forks: 27

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: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

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: 8 months ago - Pushed: 8 months ago - Stars: 3 - Forks: 0

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

Language: Python - Size: 285 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 4 - Forks: 6

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: 8 months ago - Pushed: 8 months 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: over 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1

MicroAIInc/MicroAI-Atom-ESP32

MicroAIâ„¢ 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: about 1 year ago - Pushed: over 2 years ago - Stars: 8 - Forks: 3

MicroAIInc/MicroAI-Atom-RaspberryPi3

MicroAIâ„¢ 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: about 1 year ago - Pushed: over 2 years ago - Stars: 4 - Forks: 5

becauseofAI/nvidia-xavier

Explore NVIDIA Jetson AGX Xavier.

Language: Python - Size: 414 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

onaly/embedded_ai_pytorch

Transfer Learning and Embedded AI with Pytorch

Language: Python - Size: 6.94 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0