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[FAQ] EDGE-AI-STUDIO: Edge AI Resources for AM6xA SoCs


Texas Instruments has a multitude of resources available for machine learning at the edge (Edge AI). These are spread across, (TI Developer Zone + Edge AI Studio), and github. The majority of these resources are linked here as a one-stop-shop for finding information to aid various stages of Edge AI development and evaluation.

Resources common across Edge AI AM6xA SoCs

Purpose Link Comment
Primary Edge AI page
Edge AI Studio Model analyzer and model composer available here for cloud-based training and model evaluation
Edge AI Academy Intended for new developers in the Edge AI space. Covers overview of the topics and how TI is solving problems in this space
Edge AI Demos

List of existing open-source and 3rd party demos

Main github page for Edge AI

Links to all other github resources are available here. Most useful github repos are listed below

Github repo for model compilation, testing

Compile, test, debug, evaluate models

Github repo for model training

Train, label, compile models

Github repo for model evaluation on EVM

Run end-to-end pipelines with gstraemer for input capture, model inference, and output to display. See /forks for domain-specific application examples and models.

Please see comments for device-specific resources.