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Pinned repositories
Repositories
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sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
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sagemaker-tensorflow-training-toolkit
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
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amazon-braket-sdk-python
A python SDK for interacting with quantum devices via AWS.
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deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
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chalice
Python Serverless Microframework for AWS
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aws-neuron-sdk
Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
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base64io-python
A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream.
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sagemaker-training-toolkit
Train machine learning models within a
🐳 Docker container using🧠 Amazon SageMaker. -
aws-step-functions-data-science-sdk-python
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
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aws-iot-device-sdk-python-v2
Next generation AWS IoT Client SDK for Python using the AWS Common Runtime
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amazon-braket-schemas-python
A library that contains schemas for Amazon Braket.
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sagemaker-tensorflow-serving-container
A TensorFlow Serving solution for use in SageMaker.
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aws-parallelcluster
AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
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amazon-braket-ocean-plugin-python
A Python plugin for using Ocean with Amazon Braket
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amazon-braket-default-simulator-python
A library that provides an implementation of a quantum simulator that you can run locally.
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crypto-tools
AWS Cryptography Crypto Tools Team
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aws-health-tools
The samples provided in AWS Health Tools can help users to build automation and customized alerting in response to AWS Health events.
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sagemaker-mxnet-inference-toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
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sagemaker-scikit-learn-container
Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
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aws-encryption-sdk-python
AWS Encryption SDK
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aws-iot-device-sdk-python
SDK for connecting to AWS IoT from a device using Python.
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sagemaker-pytorch-inference-toolkit
Toolkit 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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sagemaker-inference-toolkit
Serve machine learning models within a
🐳 Docker container using🧠 Amazon SageMaker. -
git-remote-codecommit
An implementation of Git Remote Helper that makes it easier to interact with AWS CodeCommit
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aws-xray-sdk-python
AWS X-Ray SDK for the Python programming language
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efs-utils
Utilities for Amazon Elastic File System (EFS)
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sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
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sagemaker-tensorflow-extensions
SageMaker specific extensions to TensorFlow.
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sagemaker-rl-container
A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.