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

A universal scalable machine learning model deployment solution

An Engine-Agnostic Deep Learning Framework in Java

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Demo applications showcasing DJL

Large Language Model Hosting Container

MSDS684 Week 1

Running large language models like ChatGPT/GPT-3/OPT-175B on a single GPU. Up to 100x faster than other offloading systems.

The Java implementation of Dive into Deep Learning (D2L.ai)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Repostiory for MSDS_686 in 22F8W2

A simple example of Hadoop MapReduce in Python.

MongoDB object modeling designed to work in an asynchronous environment.

CLI tool for Angular