Learn how to develop, deploy and iterate on production-grade ML applications.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

A collection of various deep learning architectures, models, and tips

Official inference library for Mistral models

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

fast.ai Courses

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

This is a workshop designed for Amazon Bedrock a foundational model service.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock