The opinions expressed and the code within them are my own and do not reflect those of any company or its employees.
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sagemaker-studio-apps-lifecycle-config-examples
sagemaker-studio-apps-lifecycle-config-examples PublicForked from aws-samples/sagemaker-studio-apps-lifecycle-config-examples
Python
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sm_ts_log_config
sm_ts_log_config PublicThis library adds functionality configure TS_LOG_LEVEL for sagemaker pytorch inference container
Python
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aws/sagemaker-pytorch-inference-toolkit
aws/sagemaker-pytorch-inference-toolkit PublicToolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
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