Reference Architectures for Graph Databases on AWS

VGG19 and VGG16 on Tensorflow

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

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.

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

Distributed training with SageMaker's script mode using Horovod distributed deep learning framework

Distributed training framework for TensorFlow, Keras, and PyTorch.

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

Video to Text: Generates description in natural language for given video (Video Captioning)

Summarized version of Effective Java 2nd Edition.

Amazon Kinesis Client Library for Python

Mocking framework for unit tests written in Java

Spring Boot

A microframework based on Werkzeug, Jinja2 and good intentions

Spring for Android Sample Applications