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Microsoft
- Seoul, South Korea
- https://www.linkedin.com/in/daekeun-kim/
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sm-huggingface-kornlp
sm-huggingface-kornlp PublicThis hands-on lab guides you on how to easily train and deploy Korean NLP models in a cloud-native environment using SageMaker's Hugging Face container.
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aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson
aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson PublicHands-on lab from ML model training to model compilation to edge device model deployment on the AWS Cloud. It covers the detailed method of compiling SageMaker Neo for the target device, including …
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aws-samples/sm-kornlp
aws-samples/sm-kornlp PublicA collection of Korean NLP hands-on labs on Amazon SageMaker
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aws-samples/sm-model-serving-patterns
aws-samples/sm-model-serving-patterns PublicSageMaker Model Serving Patterns
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aws-samples/sagemaker-inference-samples-kr
aws-samples/sagemaker-inference-samples-kr PublicDeep Learning(DL) Inference hands-on labs; Learn how to host pre-trained DL models to Amazon SageMaker Endpoint without building Docker Image
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aws-samples/autogluon-on-aws
aws-samples/autogluon-on-aws PublicThis hands-on lab covers example codes for Tabular, NLP, CV, SageMaker, HPO, and is suitable for self-study and half-day or full-day workshops.
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