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  • Amazon Web Services
  • Beijing

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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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  1. alpaca-on-amazon-sagemaker alpaca-on-amazon-sagemaker Public

    This is a sample about how to run stanford_alpaca on Amazon SageMaker, only for demo use.

    Jupyter Notebook 14 4

  2. finetune-vicuna-on-sagemaker finetune-vicuna-on-sagemaker Public

    Jupyter Notebook 3 1

  3. aws-samples/amazon-sagemaker-processing-video2frame-model-inference aws-samples/amazon-sagemaker-processing-video2frame-model-inference Public

    This demo shows how to use SageMaker processing process video frames extraction and model inference.

    Jupyter Notebook 8 7

  4. aws-samples/deepfm-tensorflow-distributed-training-on-amazon-sagemaker aws-samples/deepfm-tensorflow-distributed-training-on-amazon-sagemaker Public

    In this demo, we show two samples about deepfm distributed training on Amazon SageMaker, one is based on Tensorflow Parameter Server on CPU and the other one is based on Horovod on GPU.

    Python 7 2

  5. pytorch-mnist-ddp-on-sagemaker pytorch-mnist-ddp-on-sagemaker Public

    Python 2

  6. lab_ts_forecast lab_ts_forecast Public

    Forked from mf523/lab_ts_forecast

    Jupyter Notebook 1