In this livestream, Cami will be walking through how to utilize AWS SageMaker to connect your web application to a PyTorch model. You can follow along here: developers.facebook.com/blog/post/2020/08/03/connecting-web-app-pytorch-model-using-amazon-sagemaker
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- [Livestream] Connecting your web app to a PyTorch Model using AWS SageMaker: Build web client P.1 ( Download)
- [Livestream] Connecting your web app to a PyTorch Model using AWS SageMaker: Build REST API ( Download)
- [Livestream] Connecting your web app to a PyTorch Model using AWS SageMaker: Build web client P.2 ( Download)
- [Livestream] Connecting your web app to a PyTorch Model using AWS SageMaker: Connect model to Lambda ( Download)
- [Livestream] Connecting your web app to a PyTorch Model using AWS SageMaker: Deploy your ML model ( Download)
- Connecting your web app to a PyTorch Model using AWS SageMaker: Deploy your ML model ( Download)
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- AWS re:Invent 2020: Deploying PyTorch models for inference using TorchServe ( Download)
- SageMaker Studio Integrates with Deployed ML Endpoints ( Download)
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- Security for AI/ML Models in AWS ( Download)
- [Webinar] Intelligent Governance of NLP Documents + RStudio on Amazon SageMaker ( Download)
- code.talks 2019 - Serving machine learning models as an inference API in production ( Download)
