A comprehensive engineering playbook covering AWS architecture patterns, coding standards, live coding templates, diagram specifications, and prompt engineering resources for modern software develo…

Curated agentic AI skills for AWS platform engineering, delivered through any coding agent

Fast and Accurate ML in 3 Lines of Code

One stop shop for running AI/ML on AWS.

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Code Repository for Liquid Time-Constant Networks (LTCs)

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Implementations of Amazon SageMaker-compatible custom containers for training.

Machine Learning University: Accelerated Tabular Data Class

AutoGluon Docker

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, …

example of distributed multi-node/multi-device training of MXNet model

GPU IO optimizations for Deep Learning - Illustrated with Caltech 256 dataset on SageMaker. Here, we will be focusing on optimizations for improving I/O for GPU performance tuning. You can typicall…

Chatbot_data_for_Korean

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

This project builds a very simple implementation of SageMaker Training's internal IO subsystem that is able to pipe channel data files to an algorithm. It is meant to be used as a local-testing too…

🐦 Quickly annotate data from the comfort of your Jupyter notebook

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Background Matting: The World is Your Green Screen

Genomics Workflows on AWS

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

A high performance data access library for machine learning tasks

Web interface for browsing, search and filtering recent arxiv submissions

AI_ML_Workshops