GitHub / robcost / sagemaker-jetson-nano-workflow
This repo provides a workflow for creating and managing Machine Learning models in AWS SageMaker, and running them on a Jetson Nano SBC device. The goal of this repo is to show how to create multiple object detection ML models using MXNet, TensorFlow, and PyTorch, and deploy the models to a Jetson Nano.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robcost%2Fsagemaker-jetson-nano-workflow
Stars: 1
Forks: 0
Open issues: 1
License: apache-2.0
Language: Jupyter Notebook
Size: 3.74 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 2 years ago
Pushed at: almost 5 years ago
Last synced at: about 2 years ago
Topics: aws-sagemaker, jetson-nano, mxnet, pytorch, tensorflow