GitHub topics: sagemaker
aws-samples/generative-ai-use-cases
Application implementation with business use cases for safely utilizing generative AI in business operations
Language: TypeScript - Size: 141 MB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 1,075 - Forks: 277
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: 1.43 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 286 - Forks: 157
aws/amazon-sagemaker-examples
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
Language: Jupyter Notebook - Size: 634 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 10,559 - Forks: 6,900
ikram98ai/fakenews_detection_bert_aws_pipeline
End-to-end ml pipeline with sagemaker for detecting fake-news with BERT
Language: Jupyter Notebook - Size: 178 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
ikram98ai/aws_xgboost_pipeline
End-to-end ml pipeline with sagemaker for predicting retail product turnover with XGBoost
Language: Python - Size: 171 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
rafay123321/embedding-hallucinations
This repo shows how foundational model hallucinates and how we can fix such hallucinations using fine-tuning them
Language: Python - Size: 476 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
Tania526-sudo/ML-Ops-on-AWS
End-to-end MLOps pipeline for deploying and managing machine learning models on AWS cloud infrastructure. Supports automated provisioning, training, and deployment using tools like Boto3, S3, Lambda, and SageMaker.
Language: Python - Size: 2.93 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
aws/deep-learning-containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Language: Python - Size: 228 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 1,077 - Forks: 502
run-house/runhouse
Distribute and run AI workloads magically in Python, like PyTorch for ML infra.
Language: Python - Size: 31.3 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 1,037 - Forks: 37
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 at: 1 day ago - Pushed at: 10 months ago - Stars: 723 - Forks: 214
slv-ai/Recommender-system
A Movie Recommendation system
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
aws-samples/easy-model-deployer
A user-friendly Command-line/SDK tool that makes it quickly and easier to deploy open-source LLMs on AWS
Language: Python - Size: 57.3 MB - Last synced at: about 14 hours ago - Pushed at: about 14 hours ago - Stars: 48 - Forks: 9
sharikalog7/Generative-AI-with-Large-Language-Models
Language: Jupyter Notebook - Size: 230 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
aws-solutions-library-samples/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: 304 KB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 321 - Forks: 159
kingphame/aws-agentic-ai-workshop
This repository offers a hands-on workshop for building AI agents using AWS tools. Explore practical examples and enhance your skills in creating effective AI solutions. ππ©π»
Language: Jupyter Notebook - Size: 6.93 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
Language: Python - Size: 162 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2,163 - Forks: 1,184
aws/sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Language: Python - Size: 833 KB - Last synced at: 1 day ago - Pushed at: 12 days ago - Stars: 139 - Forks: 86
aws/sagemaker-distribution
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
Language: Dockerfile - Size: 2.45 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 120 - Forks: 77
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: 7.14 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 81 - Forks: 27
Mr-MH0001/am-algorithm
# am-algorithmA fast and accurate Rust utility for matching anime titles against messy inputs. This tool supports multiple languages and offers various matching strategies to ensure precision in identifying shows. π¦β¨
Language: Rust - Size: 9.77 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
aws/sagemaker-spark
A Spark library for Amazon SageMaker.
Language: Scala - Size: 979 KB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 299 - Forks: 131
aws-samples/generative-ai-cdk-constructs-samples
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Size: 60.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 134 - Forks: 41
aws/sagemaker-sparkml-serving-container π¦
This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
Language: Java - Size: 95.7 KB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 24
awslabs/generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Language: TypeScript - Size: 46.6 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 471 - Forks: 65
liangruibupt/aws-is-how
Know How Guide and Hands on Guide for AWS
Language: Jupyter Notebook - Size: 364 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 55 - Forks: 28
aws-samples/sample-connector-for-bedrock
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
Language: TypeScript - Size: 16 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 85 - Forks: 30
hyeonsangjeon/AWS-LLM-SageMaker
SageMaker Ployglot based RAG opensearch
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 16 - Forks: 2
aws-samples/aws-do-hyperpod
Create and manage Amazon SageMaker HyperPod clusters, run distributed model training
Language: Shell - Size: 3.42 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 6
aws/sagemaker-training-toolkit
Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.
Language: Python - Size: 1.01 MB - Last synced at: 1 day ago - Pushed at: 13 days ago - Stars: 515 - Forks: 134
umbertocicciaa/aws-mlops
Another Aws MlOps pipeline with Glue and Sagemaker, automated with Terraform and CICD
Language: HCL - Size: 1.88 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
aws-samples/sample-pace-data-analytics-ml-ai
DAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS using the next generation Amazon SageMaker Unified Studio. The goal of the DAIVI solution is to provide engineers with sample infrastructure-as-code modules and application modules to build their data platforms.
Language: HCL - Size: 106 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 28 - Forks: 8
jwalsh/aws-genai-rag-workshop-2025
Comprehensive AWS GenAI workshop covering RAG pipelines, advanced retrieval patterns, text-to-SQL, fine-tuning, and cost optimization using Bedrock and SageMaker
Language: Python - Size: 1.17 MB - Last synced at: 4 days ago - Pushed at: 23 days 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: 484 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 50 - Forks: 44
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 at: 8 days ago - Pushed at: about 1 year ago - Stars: 162 - Forks: 83
rupeshtiwari/amplify-react-stabledapp
Generative AI app using Stable Diffusion and AWS SageMaker, with AWS API Gateway integration and a React front-end for web/mobile. Demonstrates dynamic AI content generation.
Language: JavaScript - Size: 54.8 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 3
lynnlangit/aws-for-bioinformatics
AWS for Bioinformatics Researchers
Language: Jupyter Notebook - Size: 118 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 149 - Forks: 35
NIGMS/RNA-Methylation-with-MeRIP-seq
The MeRIP-seq data analysis tutorial is structured into four submodules, designed to comprehensively guide users through the complete workflow for RNA methylation analysis
Language: HTML - Size: 14 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
aws-samples/foundation-model-benchmarking-tool
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Language: Jupyter Notebook - Size: 95.9 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 244 - Forks: 43
DIAGNijmegen/rse-sagemaker-shim
Adapts algorithms that implement the Grand Challenge inference API for running in SageMaker
Language: Python - Size: 302 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
aws-samples/aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Language: TypeScript - Size: 82.6 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 1,260 - Forks: 385
VTUL-CDRS/Serverless-3D-UNet-prediction
Online prediction using 3D U-Net TensorFlow model in AWS Sagemaker
Language: JavaScript - Size: 35.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0
hyeonsangjeon/PDF2LLM-Tuning-Studio
PDF λ¬Έμμμ GPU κ°μ μ²λ¦¬λ‘ κ³ νμ§ μ§μμλ΅(QA) λ°μ΄ν°λ₯Ό μλ μμ±νκ³ LLMμ ν¨μ¨μ μΌλ‘ νμΈνλνλ μ루μ μ λλ€. Unstructured λΌμ΄λΈλ¬λ¦¬μ AWS Bedrock Claudeλ‘ λλ©μΈ νΉν QA μμ μμ±νκ³ , LoRA κΈ°λ²μΌλ‘ κ²½λ λͺ¨λΈμ νλ ¨ν©λλ€.
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 9 days ago - Pushed at: 19 days ago - Stars: 6 - Forks: 1
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 at: 1 day ago - Pushed at: 19 days ago - Stars: 271 - Forks: 162
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 at: 1 day ago - Pushed at: 19 days ago - Stars: 203 - Forks: 92
Harish8622/AWS_Phishing_Detection
Real-time phishing URL classifier with XGBoost, deployed using AWS SageMaker, Lambda, and API Gateway.
Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
aws-samples/ml-lineage-helper
A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.
Language: Python - Size: 130 KB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 1
krishnamami/Fine_Tuning_LLM
Enterprise-ready LLM finetuning pipeline using QLoRA for cost-efficient GenAI deployment.
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
Kenza-AI/sagify
LLMs and Machine Learning done easily
Language: Python - Size: 36.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 439 - Forks: 69
spotty-cloud/spotty
Training deep learning models on AWS and GCP instances
Language: Python - Size: 1.26 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 491 - Forks: 42
aws-controllers-k8s/sagemaker-controller
ACK service controller for Amazon SageMaker
Language: Python - Size: 3.04 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 47 - Forks: 37
aws-samples/tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-approaches
A framework for evaluating various customization techniques for foundation models (FMs) using your own dataset. This includes approaches like RAG, fine-tuning, and a hybrid method that combines both
Language: Python - Size: 450 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
vietanhdev/sagemaker-yolo-terraform
Tutorials and source code to train YOLOv11 on AWS SageMaker with Terraform for infrastructure setup
Language: HCL - Size: 70.3 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
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: 96.7 KB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 51 - Forks: 14
aws-samples/aws-autonomous-driving-data-lake-image-extraction-pipeline-from-ros-bagfiles
This workshop will familiarize you with some of the key steps towards building an autonomous driving data lake and extracting images from ROS bag files. Using these images, you will be able label them using SageMaker Ground Truth and fine-tuning a Machine Learning Model to detect cars.
Language: Python - Size: 7.6 MB - Last synced at: 18 days ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 4
aws-samples/end-2-end-3d-ml
This repository features Amazon SageMaker Ground Truth and explains how to ingest raw 3D point cloud data, label it, train a 3D object detection model using Amazon SageMaker, and deploy the model to an Amazon SageMaker Endpoint
Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 18 days ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 5
aws-samples/amazon-sagemaker-mlops-workshop
MLOps workshop with Amazon SageMaker
Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 100 - Forks: 30
ai-projs/drfc-manager
Lib for enabling DeepRacer for Cloud (DRfC) functionalities via Python. A wrapper for DRfC
Language: Python - Size: 3.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 4 - Forks: 0
pxkundu/ai-logbook-analysis
The project involves developing an AI-powered system to extract and analyze data from handwritten logbooks and service records using AWS native services. The goal is to create a scalable, secure, and efficient solution with a robust project structure, modern tech stack, and DevSecOps best practices.
Language: HCL - Size: 33.2 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Language: Python - Size: 8.21 MB - Last synced at: 25 days ago - Pushed at: 4 months ago - Stars: 246 - Forks: 34
awslabs/gluonts
Probabilistic time series modeling in Python
Language: Python - Size: 13.9 MB - Last synced at: 27 days ago - Pushed at: 2 months ago - Stars: 4,897 - Forks: 785
jocoandonob/audio-processing
Audio Processing Script with AWS SageMarker.
Language: Python - Size: 1.15 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
aws-samples/query-databases-with-natural-language
This project uses the open-source model Mistral Small, deployed in Amazon SageMaker or invoked via API on Amazon Bedrock, to enable users to chat with their database using natural language, without writing any code or SQL query.
Language: Jupyter Notebook - Size: 753 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 24 - Forks: 4
mlorthiois/sagemaker-byoc
A template for sagemaker-byoc image
Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
aws-samples/sound-anomaly-detection-for-manufacturing
This repository contains a sample on how to perform anomaly detection on machine sounds (based on the MIMII Dataset) leveraging several approaches.
Language: Jupyter Notebook - Size: 952 KB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 59 - Forks: 21
aws-samples/sagemaker-101-workshop
Hands-on demonstrations for data scientists exploring Amazon SageMaker
Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 80 - Forks: 48
aws-samples/sample-for-multi-modal-document-to-json-with-sagemaker-ai
This open-source project delivers a complete pipeline for converting multi-page documents (PDFs/images) into structured JSON using Vision LLMs on Amazon SageMaker. The solution leverages the SWIFT Framework to fine-tune models specifically for document understanding tasks.
Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1
aws-samples/comfyui-on-amazon-sagemaker
This project demonstrates how to generate images using Stable Diffusion or FLUX.1 models by hosting ComfyUI on Amazon SageMaker inference endpoint.
Language: Jupyter Notebook - Size: 5.23 MB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 58 - Forks: 13
YeonwooSung/ai_book
AI book for everyone
Language: Jupyter Notebook - Size: 631 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 5
awslabs/Renate
Library for automatic retraining and continual learning
Language: Python - Size: 6.58 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 293 - Forks: 6
aws-samples/finetune-bge-embeddings-blog
Code associated with the blog post titled, "Fine-Tuning BGE Embeddings Using Synthetic Data from Amazon Bedrock"
Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 9 - Forks: 1
Cainder098/fraud-detection
Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite
Language: Jupyter Notebook - Size: 5.01 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
aws-samples/pace-genai-demos
This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.
Language: TypeScript - Size: 62.5 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 16
aws-samples/sample-event-driven-resilience-data-solutions-sagemaker
This repository contains the AWS CDK code that captures and stores system metadata of data solutions built on Amazon SageMaker at regular interval.
Language: TypeScript - Size: 240 KB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
Language: Python - Size: 5.94 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 257 - Forks: 63
getindata/kedro-sagemaker
Kedro Plugin to support running pipelines on AWS SageMaker.
Language: Python - Size: 1.27 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 22 - Forks: 8
aws-samples/aws-ml-jp
SageMakerγ§ζ©ζ’°ε¦ηΏγ’γγ«γζ§η―γε¦ηΏγγγγγ€γγζΉζ³γε¦γΉγNotebookγ¨ζζι
Language: Jupyter Notebook - Size: 90.4 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 163 - Forks: 42
aws-samples/awesome-sagemaker
A curated list of references for Amazon SageMaker
Size: 130 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 169 - Forks: 28
sauravjoshi23/towards-agi
A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)
Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 125 - Forks: 29
exasol/sagemaker-extension
An Exasol extension to interact with AWS SageMaker from inside the database
Language: Python - Size: 806 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1
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 at: 18 days ago - Pushed at: about 3 years ago - Stars: 56 - Forks: 27
awslabs/sagemaker-defect-detection
Detect Defects in Products from their Images using Amazon SageMaker
Language: Python - Size: 6.07 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 52 - Forks: 26
aws/sagemaker-inference-toolkit
Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.
Language: Python - Size: 667 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 406 - Forks: 81
aws-samples/amazon-sagemaker-model-serving-using-aws-cdk π¦
This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
Language: TypeScript - Size: 5.58 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 47 - Forks: 22
aws-samples/sagemaker-studio-custom-image-samples
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
Size: 51.8 KB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 132 - Forks: 88
aws-samples/inference-audiocraft-musicgen-on-amazon-sagemaker
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 18 days ago - Pushed at: 11 months ago - Stars: 13 - Forks: 2
fereydoonboroojerdi/multimodal-customer-insights-generator
Scalable multimodal AI system combining FSDP, RLHF, and Inferentia optimization for customer insights generation.
Language: Python - Size: 212 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
aws/amazon-sagemaker-operator-for-k8s π¦
Amazon SageMaker operator for Kubernetes
Language: Go - Size: 19.7 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 149 - Forks: 51
fereydoonboroojerdi/multilingual-llm-trainium
Production-ready multilingual customer support system using LLaMA-3, RLHF, DeepSpeed, and AWS Trainium.
Language: Python - Size: 197 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
dod-iac/terraform-aws-sagemaker-iam-role π¦
IAM Role for use as a SageMaker service role
Language: HCL - Size: 11.7 KB - Last synced at: about 3 hours ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2
awslabs/sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
Language: Python - Size: 2.77 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 97 - Forks: 28
awslabs/realtime-fraud-detection-with-gnn-on-dgl π¦
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 at: about 1 month ago - Pushed at: about 1 year ago - Stars: 216 - Forks: 39
aws-samples/generative-ai-on-aws-immersion-day
Generative AI on AWS Immersion Day
Language: Jupyter Notebook - Size: 72.1 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 50 - Forks: 26
awslabs/aws-fleet-predictive-maintenance
Predictive Maintenance for Vehicle Fleets
Language: Jupyter Notebook - Size: 898 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 32
adil-faiyaz98/neural-scope
A comprehensive tool for analyzing machine learning models with CI/CD integration. Features include pre-trained model support, security analysis, adversarial robustness, testing, model versioning and MLFlow integration
Language: Python - Size: 123 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
aws-samples/sagemaker-run-notebook
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
Language: Python - Size: 1.66 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 143 - Forks: 71
DigitalProductschool/AI-Makerspace
AI Makerspace: Blueprints for developing AI applications with state-of-the-art technologies.
Language: JavaScript - Size: 234 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 64 - Forks: 30
aws-samples/amazon-sagemaker-finetune-deploy-whisper-huggingface
This is a demo project showing how to fine-tune and deploy the Whisper model on SageMaker.
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 6
carpentries-incubator/ML_with_AWS_SageMaker
Learn how to scale up ML/AI pipelines using AWS SageMaker (GPUs, Cloud computing)
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GURPREETKAURJETHRA/Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
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aws-samples/sm-kornlp
A collection of Korean NLP hands-on labs on Amazon SageMaker
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