Hands-on workshop for distributed training and hosting on SageMaker
-
Updated
Nov 4, 2024 - Jupyter Notebook
Hands-on workshop for distributed training and hosting on SageMaker
SageMaker Experiments and DVC
Implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]
This repository contains examples and related resources showing you how to preprocess, train, and serve your models using Amazon SageMaker with data fetched from Delta Lake.
Workshop for running HuggingFace Models on Amazon SageMaker.
Amazon SageMaker training jobs using Snowpark Python API
Example Python smaples for running your local code as a SageMaker training job using @Remote decorator
Add a description, image, and links to the sagemaker-training topic page so that developers can more easily learn about it.
To associate your repository with the sagemaker-training topic, visit your repo's landing page and select "manage topics."