Eric Johnson's repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aws-step-functions-data-science-sdk-python
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
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.
sagemaker-experiments
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
sagemaker-spark
A Spark library for Amazon SageMaker.
sagemaker-tensorflow-extensions
SageMaker specific extensions to TensorFlow.
sagemaker-tensorflow-serving-container
A TensorFlow Serving solution for use in SageMaker.
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.
sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
vision
Datasets, Transforms and Models specific to Computer Vision