A library for training and deploying machine learning models on Amazon SageMaker

This support code is used for making the TensorFlow framework run on Amazon SageMaker.

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

This support code is used for making the MXNet framework run on Amazon SageMaker.

Models and examples built with TensorFlow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

A TensorFlow Serving solution for use in SageMaker.

Linux kernel source tree

A tool for exploring each layer in a docker image

A collection of design patterns/idioms in Python

Open source platform for the machine learning lifecycle

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker

Telenav.AI competition public repository

AWS Sagemaker Item-Item Recs

Reference models and tools for Cloud TPUs.

everis hackathon pa3mm poc

An example Python C extension module

Deep learning Docker containers built for NVIDIA's Volta GPU on AWS P3 instances.

Computation using data flow graphs for scalable machine learning