daekeun-ml Goto Github PK

ai-gateway

APIM ❤️ OpenAI - this repo contains a set of experiments on using GenAI capabilities of Azure API Management with Azure OpenAI and other services

aiot-e2e-sagemaker-greengrass-v2-nvidia-jetson

Hands-on lab from ML model training to model compilation to edge device model deployment on the AWS Cloud. It covers the detailed method of compiling SageMaker Neo for the target device, including cloud instance and edge device, and how to write and deploy Greengrass-v2 components from scratch.

amazon-sagemaker-ab-testing-pipeline

Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.

amazon-sagemaker-built-in-algorithms-mlops-pipeline-using-aws-cdk

MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.

amazon-sagemaker-model-serving-using-aws-cdk

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

architecting-for-ml-on-aws

autogluon-imgclass-with-sagemaker-example

This is an example of low-code AutoML using AutoGluon to perform image classification quickly and easily.

autogluon-objdetect-with-sagemaker-example

This is an example of low-code AutoML using AutoGluon to perform object detection quickly and easily.

autogluon-on-aws

This hands-on lab covers example codes for Tabular, NLP, CV, SageMaker, HPO, and is suitable for self-study and half-day or full-day workshops.

automl-pipeline-with-autogluon-sagemaker-lambda

A code-free AutoML pipeline with AutoGluon, Amazon SageMaker, and AWS Lambda.

aws-ai-ml-workshop-kr

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

aws-chalice-examples

Guide to basic usage of AWS Chalice

aws-deepcomposer-samples

Korean localized DeepComposer workshop materials for hands-on labs. All translated files are named with the subscript -ko. (e.g., README-ko.md, GAN-ko.ipynb)

aws-greengrass-developer-guide

The open source version of the AWS Greengrass developer guide

aws-inferentia

This repository provides an easy hands-on way to get started with AWS Inferentia. A demonstration of this hands-on can be seen in the AWS Innovate 2023 - AIML Edition session.

aws-llm-sagemaker

SageMaker Ployglot based RAG opensearch

aws-pub

the document repository of aws.jhin.net.

aws-serverless-using-aws-cdk

aws-summit-aiml-demo

azure-llm-fine-tuning

This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-tuning but are unfamiliar with Azure ML.

blazingtext-workshop-korean

AWS SageMaker Workshop materials for hands-on labs; Word Embedding and Text Classification Using BlazingText

car-detect

Detect cars, pedestrians, etc. with Amazon SageMaker

codefree-automl

end-to-end-pytorch-on-sagemaker

Building an end-to-end ML demo based on the PyTorch framework on SageMaker

evaluate-llm-on-korean-dataset

Performs benchmarking on two Korean datasets with minimal time and effort.

fastertransformer_backend

ft-triton

genai-ko-llm

This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infrastructure.

generative-ai-sagemaker-cdk-demo

Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK

gg-mlops-hol