Edge Impulse is the development platform for machine learning on edge devices.
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Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Small Language Model tailored for edge devices.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Provides containers to encapsulate and deploy EdgeML pipelines and applications.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.
Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications.
Provides an optimized cloud and edge inferencing solution.
Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.