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amazon-bedrock-kendra-lex-chatbot

The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.

amazon-sagemaker-examples

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

amazon-sagemaker-immersion-day

amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

amazon-sagemaker-w-snowflake-as-datasource

Use Snowflake as a source of training data for training a machine learning model in Amazon SageMaker.

amazon-security-lake-machine-learning

amazonsagemakercourse

AWS Machine Learning Specialty

awesome-python-learning

Python Learning Library

aws-certified-machine-learning-specialty-mls-c01-certification-guide

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt

aws-insurancelake-etl

This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, AWS Glue for data transformation, and AWS CDK Pipelines. It is originally based on the AWS blog Deploy data lake ETL jobs using CDK Pipelines, and complements the InsuranceLake Infrastructure project

aws-insurancelake-infrastructure

This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, AWS Glue for data transformation, and AWS CDK Pipelines. It is originally based on the AWS blog Deploy data lake ETL jobs using CDK Pipelines, and complements the InsuranceLake ETL with CDK Pipelines project.

aws-solutions-architect-certification

Study Notes for the AWS Certified Solutions Architect Professional Exam

aws_linear_learner_blog

Repo for AWS SageMaker Linear Learner Blog Post

bedrock-llm

Foundation Model Evaluations Library

building-machine-learning-pipelines-on-aws

data-science-on-aws

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

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

fundamentals-of-ml-for-se

Example Code for Fundamentals of ML for Software Engineers

genai-llmops-mlops

genai-quickstart-pocs

This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.

generative-ai-natural-language-processing-bootcamp

Generative-AI-Natural-Language-Processing-Bootcamp

generative-ai-security-runbooks

hands-on-machine-learning-using-amazon-sagemaker-v-

Hands-On Machine Learning Using Amazon SageMaker [video], published by Packt

hands-on-python-for-devops

Hands-on Python for DevOps, published by Packt

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

learn-amazon-sagemaker

Learn Amazon SageMaker

leetcode_revision

Some sample code for top leetcode problems

machine-learning-with-amazon-sagemaker-cookbook

Machine Learning with Amazon SageMaker

mlops-with-aws-datascientists

mlops with aws