Skip to content
View daekeun-ml's full-sized avatar
Block or Report

Block or report daekeun-ml

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. sm-huggingface-kornlp sm-huggingface-kornlp Public

    This 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.

    Jupyter Notebook 19 9

  2. aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson aws-samples/aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson Public

    Hands-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 …

    Python 14 4

  3. aws-samples/sm-kornlp aws-samples/sm-kornlp Public

    A collection of Korean NLP hands-on labs on Amazon SageMaker

    Jupyter Notebook 16 4

  4. aws-samples/sm-model-serving-patterns aws-samples/sm-model-serving-patterns Public

    SageMaker Model Serving Patterns

    Jupyter Notebook 23 3

  5. aws-samples/sagemaker-inference-samples-kr aws-samples/sagemaker-inference-samples-kr Public

    Deep Learning(DL) Inference hands-on labs; Learn how to host pre-trained DL models to Amazon SageMaker Endpoint without building Docker Image

    Jupyter Notebook 8 3

  6. aws-samples/autogluon-on-aws aws-samples/autogluon-on-aws Public

    This 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.

    Jupyter Notebook 7 6