thisisadityapatel/continueSageEndpoint

API for Continue.dev extension to support LLM models hosted via AWS Sagemaker

Language: Python - Size: 35.2 KB - Last synced: about 1 hour ago - Pushed: about 1 hour ago - Stars: 0 - Forks: 0

ksmin23/rag-with-haystack-and-amazon-opensearch

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

Language: Jupyter Notebook - Size: 283 KB - Last synced: about 3 hours ago - Pushed: about 4 hours ago - Stars: 3 - Forks: 0

aws-samples/mlops-pipeline-prestodb

An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.

Language: Jupyter Notebook - Size: 16.1 MB - Last synced: about 4 hours ago - Pushed: about 9 hours ago - Stars: 3 - Forks: 3

YeonwooSung/ai_book

AI book for everyone

Language: Jupyter Notebook - Size: 546 MB - Last synced: about 7 hours ago - Pushed: about 8 hours ago - Stars: 19 - Forks: 3

aws/sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Language: Python - Size: 1020 KB - Last synced: about 9 hours ago - Pushed: about 1 month ago - Stars: 470 - Forks: 113

aws/amazon-sagemaker-examples

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

Language: Jupyter Notebook - Size: 618 MB - Last synced: about 9 hours ago - Pushed: about 10 hours ago - Stars: 9,516 - Forks: 6,603

aws-samples/sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

Language: Python - Size: 5.06 MB - Last synced: about 9 hours ago - Pushed: about 11 hours ago - Stars: 187 - Forks: 26

awslabs/aiops-modules

AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

Language: Python - Size: 1.46 MB - Last synced: about 12 hours ago - Pushed: about 15 hours ago - Stars: 17 - Forks: 11

aws-samples/playground-persistent-cluster

Experimental scripts for Amazon SageMaker HyperPod

Language: Shell - Size: 1.39 MB - Last synced: about 16 hours ago - Pushed: about 22 hours ago - Stars: 4 - Forks: 0

aws-samples/aws-ai-ml-workshop-kr

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

Language: Jupyter Notebook - Size: 730 MB - Last synced: about 4 hours ago - Pushed: about 9 hours ago - Stars: 182 - Forks: 116

0xvon/deploy-and-manage-ml-model

deploy and manage your own ML time series model(using LSTM) with CloudFormations, Lambda, S3, SageMaker

Language: Python - Size: 409 KB - Last synced: 1 day ago - Pushed: about 4 years ago - Stars: 0 - Forks: 2

aws/deep-learning-containers

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

Language: Python - Size: 205 MB - Last synced: about 12 hours ago - Pushed: about 12 hours ago - Stars: 936 - Forks: 434

aws/sagemaker-distribution

A set of Docker images that include popular frameworks for machine learning, data science and visualization.

Language: Dockerfile - Size: 655 KB - Last synced: about 23 hours ago - Pushed: 1 day ago - Stars: 72 - Forks: 39

joelwembo/api-generative-ai-bedrock-sagemaker-langchain

API Generative AI with bedrock SageMaker LangChain using AWS CDK, CDKTF, CloudFormation, Boto3 and Python

Language: Python - Size: 13 MB - Last synced: about 23 hours ago - Pushed: 1 day ago - Stars: 0 - Forks: 0

aws/sagemaker-python-sdk

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

Language: Python - Size: 146 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 2,043 - Forks: 1,089

aws-samples/generative-ai-use-cases-jp

すぐに業務活用できるビジネスユースケース集付きの安全な生成AIアプリ実装

Language: TypeScript - Size: 55.7 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 294 - Forks: 62

gcjordi/rfsignalsml_spectrumsensdisasters_jgc

RF Signals ML demo with SpectrumSens system for hackathon AWS Disaster Response.

Language: HTML - Size: 15.5 MB - Last synced: 2 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

storopoli/udacity-compas

Udacity's ML Engineer nanodegree capstone project - COMPAS Fair Classifier trained/tuned/deployed in AWS SageMaker

Language: Jupyter Notebook - Size: 1.1 MB - Last synced: 2 days ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

neo4j-partners/hands-on-lab-neo4j-and-bedrock

Hands on lab for Neo4j and Amazon Bedrock

Language: Jupyter Notebook - Size: 457 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 25 - Forks: 29

awslabs/sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

Language: Python - Size: 12.3 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 158 - Forks: 82

aws-samples/generative-ai-cdk-constructs-samples

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

Size: 3.65 MB - Last synced: about 12 hours ago - Pushed: about 15 hours ago - Stars: 34 - Forks: 6

aws-solutions-library-samples/guidance-for-recency-frequency-and-monetization-analysis-on-amazon-pinpoint

Recency, Frequency and Monetary (RFM) Segmentation guidance for Amazon Pinpoint.

Language: Python - Size: 512 KB - Last synced: 3 days ago - Pushed: 9 days ago - Stars: 1 - Forks: 0

awslabs/fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Language: Jupyter Notebook - Size: 199 KB - Last synced: 1 day ago - Pushed: almost 3 years ago - Stars: 258 - Forks: 146

aws/amazon-sagemaker-feedback

Amazon SageMaker Public Feedback Dashboard

Size: 34.2 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 3 - Forks: 0

heschmat/Project-Plagiarism-Detection

Build a plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text.

Language: Jupyter Notebook - Size: 119 KB - Last synced: 4 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

awslabs/realtime-fraud-detection-with-gnn-on-dgl

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

Language: TypeScript - Size: 12.6 MB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 204 - Forks: 38

aws/sagemaker-tensorflow-training-toolkit

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

Language: Python - Size: 14.1 MB - Last synced: about 3 hours ago - Pushed: about 1 year ago - Stars: 268 - Forks: 164

alvisxp/AWS-MLS

My notes for the AWS Machine Learning Speciality Certification

Size: 559 KB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 0

aws-samples/mlops-multi-account-terraform

Secure and scalable MLOps platform on AWS using Terraform.

Language: Jupyter Notebook - Size: 8.28 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 25 - Forks: 4

aws/studio-lab-examples

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Language: Jupyter Notebook - Size: 33.9 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 580 - Forks: 172

awslabs/aws-customer-churn-pipeline

An End to End Customer Churn Prediction solution using AWS services.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced: 1 day ago - Pushed: over 1 year ago - Stars: 33 - Forks: 21

hyeonsangjeon/AWS-LLM-SageMaker

SageMaker Ployglot based RAG opensearch

Language: Jupyter Notebook - Size: 2.79 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 16 - Forks: 3

shazi7804/aws-cdk-sagemaker-model-endpoints

This repository is create SageMaker model and invoke endpoint.

Language: HTML - Size: 945 KB - Last synced: 9 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

aws/sagemaker-mxnet-training-toolkit

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

Language: Python - Size: 12.9 MB - Last synced: 9 days ago - Pushed: about 1 year ago - Stars: 59 - Forks: 55

GURPREETKAURJETHRA/Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

Language: Jupyter Notebook - Size: 97.7 KB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 2 - Forks: 2

awslabs/gluonts

Probabilistic time series modeling in Python

Language: Python - Size: 13.8 MB - Last synced: 19 days ago - Pushed: 21 days ago - Stars: 4,258 - Forks: 727

mxagar/sentiment_rnn_aws_deployment

This project contains a Sentiment Analysis RNN based on LSTM cells which is deployed using AWS SageMaker.

Language: Jupyter Notebook - Size: 1.35 MB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

mxagar/sagemaker-deployment Fork of udacity/sagemaker-deployment

Code and associated files for the deploying of ML models within AWS SageMaker. This repository is part of the Udacity Deep Learning Nanodegree.

Language: Jupyter Notebook - Size: 896 KB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

mxagar/deep-learning-v2-pytorch Fork of udacity/deep-learning-v2-pytorch

Projects and exercises of the Udacity Deep Learning Nanodegree.

Language: Jupyter Notebook - Size: 366 MB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

anxety-solo/sd-webui-notebook

Stable-Diffusion-WebUI. One simple notebook for three environments: Colab/Kaggle/SageMaker.

Language: Jupyter Notebook - Size: 5 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 22 - Forks: 1

awslabs/generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Language: TypeScript - Size: 19.5 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 253 - Forks: 25

run-house/runhouse

The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.

Language: Python - Size: 28.2 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 707 - Forks: 32

Fustincho/aws-tutorials

Explore practical AWS examples through scripts and notebooks across various services like AWS CLI, SageMaker, and more. Ideal for learning and mastering AWS functionalities.

Language: Jupyter Notebook - Size: 3.41 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 1 - Forks: 0

aws-samples/sagemaker-domain-disaster-recovery

SageMaker Domain (SageMaker Classic) Disaster Recovery

Language: Python - Size: 1.01 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 1 - Forks: 0

aws-samples/foundation-model-benchmarking-tool

Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.

Language: Jupyter Notebook - Size: 74.9 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 77 - Forks: 8

t04glovern/fbmsg-analysis-gpt-2 Fork of nshepperd/gpt-2

Generate Fake Facebook conversations using OpenAI's GPT-2 training model and a large number of your existing facebook message data. Perform training using Amazon SageMaker GPU instances and CloudFormation.

Language: Python - Size: 4.26 MB - Last synced: 13 days ago - Pushed: about 5 years ago - Stars: 8 - Forks: 1

RodGuarneros/Sentiment_Analysis_Deployment_ML

Sentiment Analysis Web App

Language: Jupyter Notebook - Size: 1.22 MB - Last synced: 14 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

odahu/sagemaker-mlflow-container

SageMaker compatible container to run MLFlow training

Language: Python - Size: 41 KB - Last synced: 14 days ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

eljandoubi/Inventory-Monitoring-at-Distribution-Centers

Language: Jupyter Notebook - Size: 882 KB - Last synced: 17 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

eljandoubi/Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker

In this project, I've used AWS Sagemaker to build an image classification model that can tell bicycles apart from motorcycles. And I've deployed the model, using AWS Lambda functions to build supporting services, and AWS Step Functions to compose the model and services into an event-driven application.

Language: Jupyter Notebook - Size: 141 KB - Last synced: 17 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

exasol/sagemaker-extension

An Exasol extension to interact with AWS SageMaker from inside the database

Language: Python - Size: 309 KB - Last synced: 17 days ago - Pushed: about 2 months ago - Stars: 3 - Forks: 1

windson/audiocraft-musicgen-sagemaker

Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.

Language: Jupyter Notebook - Size: 830 KB - Last synced: 2 days ago - Pushed: 5 months ago - Stars: 5 - Forks: 0

Dave-Vedant/Deep_Learning_NanoDegree-Udacity

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.

Language: Jupyter Notebook - Size: 168 MB - Last synced: 18 days ago - Pushed: over 3 years ago - Stars: 4 - Forks: 0

aldente0630/musinsaigo

Using SageMaker and LoRA to fine-tune the Stable Diffusion model and generate fashion images

Language: Jupyter Notebook - Size: 46.5 MB - Last synced: 18 days ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

dmschauer/AWS-Sagemaker-deployment-test

I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.

Language: Python - Size: 932 KB - Last synced: 18 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

polyaxon/hub

Public reusable components for Polyaxon

Language: Python - Size: 274 KB - Last synced: 18 days ago - Pushed: over 1 year ago - Stars: 8 - Forks: 4

aws/amazon-sagemaker-operator-for-k8s 📦

Amazon SageMaker operator for Kubernetes

Language: Go - Size: 19.7 MB - Last synced: about 17 hours ago - Pushed: 10 months ago - Stars: 147 - Forks: 53

awslabs/aws-fleet-predictive-maintenance

Predictive Maintenance for Vehicle Fleets

Language: Jupyter Notebook - Size: 898 KB - Last synced: 1 day ago - Pushed: over 1 year ago - Stars: 61 - Forks: 32

awslabs/sagemaker-defect-detection

Detect Defects in Products from their Images using Amazon SageMaker

Language: Python - Size: 6.07 MB - Last synced: 1 day ago - Pushed: over 1 year ago - Stars: 43 - Forks: 24

awslabs/sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

Language: Python - Size: 2.77 MB - Last synced: 1 day ago - Pushed: 12 months ago - Stars: 94 - Forks: 27

aws/sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

Language: Python - Size: 44.8 MB - Last synced: 10 days ago - Pushed: 6 months ago - Stars: 189 - Forks: 93

thoughtworks/mlops-platforms

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Size: 17.6 MB - Last synced: 18 days ago - Pushed: over 1 year ago - Stars: 364 - Forks: 28

awslabs/Renate

Library for automatic retraining and continual learning

Language: Python - Size: 6.29 MB - Last synced: 1 day ago - Pushed: 3 months ago - Stars: 264 - Forks: 7

jpmorganchase/inference-server

Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.

Language: Python - Size: 67.4 KB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 28 - Forks: 7

aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Language: Python - Size: 5.98 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 228 - Forks: 55

aws-samples/aws-lambda-docker-serverless-inference

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Language: Jupyter Notebook - Size: 77.1 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 91 - Forks: 23

awslabs/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Language: Python - Size: 13.5 MB - Last synced: about 8 hours ago - Pushed: about 9 hours ago - Stars: 363 - Forks: 49

arunprsh/sagemaker-jumpstart-generative-ai-examples

Unlocking Creativity: Generative AI with SageMaker Jumpstart

Language: Jupyter Notebook - Size: 54.3 MB - Last synced: 14 days ago - Pushed: 12 months ago - Stars: 32 - Forks: 8

lynnlangit/aws-for-bioinformatics

AWS for Bioinformatics Researchers

Language: Jupyter Notebook - Size: 118 MB - Last synced: 23 days ago - Pushed: 24 days ago - Stars: 106 - Forks: 24

neo4j-partners/neo4j-generative-ai-aws

Demonstration application showing how Neo4j works with Amazon Bedrock

Language: Jupyter Notebook - Size: 192 MB - Last synced: 20 days ago - Pushed: 25 days ago - Stars: 30 - Forks: 12

kyopark2014/chatbot-based-on-Falcon-FM

It shows how to make a chabot based on Falcon foundation model using SageMaker JumpStart

Language: JavaScript - Size: 1.41 MB - Last synced: 26 days ago - Pushed: 9 months ago - Stars: 4 - Forks: 1

Kenza-AI/sagify

LLMs and Machine Learning done easily

Language: Python - Size: 36.1 MB - Last synced: 23 days ago - Pushed: about 2 months ago - Stars: 429 - Forks: 70

concurrent-ai/concurrent

Run DAGs of MLflow Projects in Kubernetes using Concurrent for MLflow

Language: Python - Size: 18.3 MB - Last synced: 18 days ago - Pushed: 3 months ago - Stars: 7 - Forks: 4

PranithChowdary/BlogApp

Exploring Cloud NoSQL Databases in Content Management Systems

Language: Python - Size: 44.3 MB - Last synced: 27 days ago - Pushed: 28 days ago - Stars: 0 - Forks: 0

t04glovern/aws-s3-cat-images

Generating Cat images using StyleGAN

Language: HTML - Size: 2.08 MB - Last synced: 13 days ago - Pushed: over 4 years ago - Stars: 150 - Forks: 9

laaksomavrick/canihasashowplz

A recommender system for television shows.

Language: Jupyter Notebook - Size: 61.5 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 2 - Forks: 1

aws-controllers-k8s/sagemaker-controller

ACK service controller for Amazon SageMaker

Language: Python - Size: 2.67 MB - Last synced: about 23 hours ago - Pushed: 1 day ago - Stars: 34 - Forks: 32

spotty-cloud/spotty

Training deep learning models on AWS and GCP instances

Language: Python - Size: 1.26 MB - Last synced: 3 days ago - Pushed: 7 months ago - Stars: 491 - Forks: 44

aws-samples/deep-visual-search-workshop-infra

Workshop CDK Template to provision infra for the Deep Visual Search workshop

Language: Python - Size: 186 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 4 - Forks: 0

aws-samples/aws-ml-jp

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

Language: Jupyter Notebook - Size: 89 MB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 135 - Forks: 42

aws-samples/inference-audiocraft-musicgen-on-amazon-sagemaker

Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.

Language: Jupyter Notebook - Size: 893 KB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 1 - Forks: 1

Harshit-Sinha-49/LLM-Fine-Tuning-using-SageMaker

Fine Tuning a LLM i.e. LLaMA2 using Awazon SageMaker

Language: Jupyter Notebook - Size: 12.2 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

panacloud/bootcamp-2021

Become a Certified Unicorn Developer and Participant in the API Token Economy

Language: TypeScript - Size: 2.98 MB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 188 - Forks: 100

zcemycl/systemDeploy

Build systems based on containisation and cloud infrastructure.

Language: HCL - Size: 4.97 MB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

aws/sagemaker-inference-toolkit

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Language: Python - Size: 667 KB - Last synced: 27 days ago - Pushed: 6 months ago - Stars: 356 - Forks: 86

mcamilaortiz/Mistral-RAG

Technical Test for Machine Learning Engineer at Loka.

Language: Jupyter Notebook - Size: 1.47 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

LaurentVeyssier/Sentiment-Analysis-webApp-with-SageMaker

Sentiment analysis web app with SageMaker

Language: Jupyter Notebook - Size: 67.4 KB - Last synced: about 1 month ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

srushtii-m/MLOps-With-AWS

MLOps pipeline leveraging AWS services, streamlining the path from model development to production with automated CI/CD, testing, and scalable deployment.

Language: Jupyter Notebook - Size: 5.6 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

aws-samples/sagemaker-studio-image-build-cli

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

Language: Python - Size: 46.9 KB - Last synced: 24 days ago - Pushed: about 2 years ago - Stars: 56 - Forks: 25

aws-samples/generative-ai-demo-using-amazon-sagemaker-jumpstart-kr

This project shows the demos about how to generate stable diffusion images using AWS SageMaker Jumpstat.

Language: JavaScript - Size: 179 MB - Last synced: 21 days ago - Pushed: 22 days ago - Stars: 15 - Forks: 6

aws/sagemaker-spark

A Spark library for Amazon SageMaker.

Language: Scala - Size: 974 KB - Last synced: 29 days ago - Pushed: 2 months ago - Stars: 292 - Forks: 130

ogckw/aws-sagemaker-workshop

Language: Jupyter Notebook - Size: 3.44 MB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1

daekeun-ml/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.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced: 6 days ago - Pushed: 3 months ago - Stars: 24 - Forks: 7

jugalpanchal/ml-alien

Machine Learning and Data Science Models

Language: Jupyter Notebook - Size: 516 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Seanyap90/MLdeploy

Deploy various ML models over the cloud or on the edge

Language: Python - Size: 401 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

greenpau/argo-workflows-aws-plugin

Argo Workflows Executor Plugin for AWS Services, e.g. SageMaker Pipelines, Glue, etc.

Language: Go - Size: 69.3 KB - Last synced: about 19 hours ago - Pushed: 6 months ago - Stars: 4 - Forks: 0

cosmincatalin/voice-recognition-with-mxnet-and-sagemaker

End to end AWS SageMaker application for detecting the AWS Polly voice in an audio recording using Gluon and MXNet.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 6 - Forks: 1

aws-samples/query-databases-with-natural-language

This project uses Mixtral 8x7B Instruct, deployed in Amazon SageMaker, to enable users to chat with their database using natural language, without writing any code or SQL query.

Language: Jupyter Notebook - Size: 672 KB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 3 - Forks: 1

bsantraigi/dialog-human-labeling

AWS Sagemaker Ground Truth Scripts for Human Evaluation of Dialog Response Generation Models | Supports Amazon Mechanical Turk (MTurk) / Private in-lab study backend

Language: HTML - Size: 11.5 MB - Last synced: about 2 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

jacobeturpin/sagemaker-studio-efs-migration

A Python-based library for automating the migration of EFS storage from one SageMaker Studio domain to another using AWS DataSync

Language: Python - Size: 6.84 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0