How to build an app using Dash, Plotly and Python and deploy it to AWS

Simplify your PyTorch code with PyTorch Lightning

Inference your own NLP trained-model on AWS SageMaker with PyTorchModel or HuggingeFaceModel

Deploy your Instance Segmentation Model using AWS Sagemaker (Part 1)

Inference your Object Detection Transformer (DETR) custom trained model on AWS Sagemaker using PyTorchModel Library

Setup Custom AWS lambda (λ) function dependencies using Docker containers

How to configure AWS EBS to handle large files

What if you want to setup a model on AWS Sagemaker that is able to handle large…

Deploy your ML Model using AWS Sagemaker (Part 2)

We continue to the next section in which we showcase how to setup the basic outline for you to serve your application on AWS. Assuming that you have uploaded your image on ECR, lets go!

Deploy a secure Web Application in Amazon Beanstalk with SSl certificate and custom domain name

Detectron2; augmentations, monitor & log train/validation metrics, inference script (Part 2)