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Inference your Object Detection Transformer (DETR) custom trained model on AWS Sagemaker using…
Inference your Object Detection Transformer (DETR) custom trained model on AWS Sagemaker using…
Hello and welcome to a new tutorial! In this tutorial we find ourselves deploying a custom trained DETR model for Object Detection using…
George Bakas
Jul 11, 2022
Inference your own NLP trained-model on AWS SageMaker with PyTorchModel or HuggingeFaceModel
Inference your own NLP trained-model on AWS SageMaker with PyTorchModel or HuggingeFaceModel
Welcome to a quick tutorial on creating two real-time inference endpoints, utilizing AWS PyTorch Inference Deep Learning Containers (DLCs)…
Spyros Dimitriadis
Jul 11, 2022
Setup Custom AWS lambda (λ) function dependencies using Docker containers
Setup Custom AWS lambda (λ) function dependencies using Docker containers
Let’s face it… When it comes to running serverless applications, AWS Lambda (λ) service is one of the most easy to develop and deploy. With…
George Bakas
Jun 22, 2022
Detectron2; augmentations, monitor & log train/validation metrics, inference script (Part 2)
Detectron2; augmentations, monitor & log train/validation metrics, inference script (Part 2)
In part 1 on how to use Detectron2 we saw how to set up the configuration file, how to use any optimizer and learning rate scheduler. It is…
Spyros Dimitriadis
May 23, 2022
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…
George Bakas
Apr 14, 2022
Deploy your Instance Segmentation Model using AWS Sagemaker (Part 1)
Deploy your Instance Segmentation Model using AWS Sagemaker (Part 1)
This post will guide you on how to take a ML model that you have created on your local machine and use it within AWS for inference. This…
George Bakas
Apr 4, 2022
Simplify your PyTorch code with PyTorch Lightning
Simplify your PyTorch code with PyTorch Lightning
An introduction to PyTorch Lightning, a framework for making deep learning model training easier and faster.
Sandy Bei
Mar 24, 2022
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