amazon-sagemaker
There are 82 repositories under amazon-sagemaker topic.
dgomesbr/awesome-aws-workshops
(Unofficial) curated list of awesome workshops found around in the internet. As we all have been there, finding that workshop that you have just attended shouldn't be hard. The idea is to provide an easy central repository, in a collaborative way.
aws/sagemaker-spark
A Spark library for Amazon SageMaker.
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
aws-samples/amazon-sagemaker-safe-deployment-pipeline
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
aws-samples/amazon-sagemaker-mlops-workshop
MLOps workshop with Amazon SageMaker
aws-samples/cloud-experiments
Open innovation with 60 minute cloud experiments on AWS
aws-samples/sagemaker-101-workshop
Hands-on demonstrations for data scientists exploring Amazon SageMaker
aws-samples/generative-ai-sagemaker-cdk-demo
Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
aws-solutions-library-samples/guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
qtangs/sagemaker-notebook-container
Docker images that replicate the Amazon SageMaker Notebook instance.
aws-samples/amazon-sagemaker-managed-spot-training
Amazon SageMaker Managed Spot Training Examples
aws-samples/sagemaker-end-to-end-workshop
Hands-on end-to-end workshop to explore Amazon SageMaker.
aws-samples/amazon-sagemaker-protein-classification
Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.
Ditectrev/Amazon-Web-Services-Certified-AWS-Certified-Machine-Learning-MLS-C01-Practice-Tests-Exams-Question
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
giuseppeporcelli/end-to-end-ml-sm
End to end Machine Learning with Amazon SageMaker
aws-samples/multimodal-rag-on-slide-decks
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
aws-samples/TensorFlow-in-SageMaker-workshop
Running your TensorFlow models in Amazon SageMaker
Snowflake-Labs/sfguide-recommender-pipeline
Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
ohke/how-to-construct-mlops-with-amazon-sagemaker
Amazon SageMaker で MLOps (前処理・学習・評価・推論、および、実験・モデル・ワークフローの管理) を実現するミニマムなコードサンプル
purvasingh96/Deep-learning-with-neural-networks
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
Ashleshk/Practical-Data-Science-on-the-AWS-Cloud-Specialization
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
aws-samples/amazon-sagemaker-visual-transformer
Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
awslabs/predictive-segmentation-using-amazon-pinpoint-and-amazon-sagemaker
This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.
DyfanJones/sagemaker-r-sdk
A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk
aws-samples/reinvent2021-aim408-high-performance-cost-effective-model-deployment-amazon-sagemaker
This repo contains demo code for reInvent2021 session AIM408 Achieve high performance and cost-effective model deployment
garystafford/svdxt-sagemaker-huggingface
Deploy and invoke Stability AI's Stable Video Diffusion XT (SVT-XT) 1.1 foundation model on Amazon SageMaker.
aws-samples/amazon-sagemaker-statistical-simulation-rstudio
This is a solution that allows you to offload a resource intensive Monte-Carlo simulation to more powerful machines on Amazon SageMaker, while still being able to develop your scripts in your RStudio IDE.
build-on-aws/fullstack-llm-langchain-chatbot-on-aws
Build a Full stack Q&A Chatbot with Langchain, and LLM Models on Amazon Sagemaker
mindsdb/mindsdb-sagemaker-container
This code is used for making MindsDB run on Amazon SageMaker.
phreakyphoenix/Deploy-Sentiment-Analysis-LSTM
Sentiment Analysis WebApp using LSTM, made with :heart: in PyTorch and deployed on AWS:rocket: Do :star2: the repo and show some love.
pranaychandekar/keras-sagemaker-train
A project cum tutorial which will help you understand and setup your custom keras project in Amazon SageMaker.
aws-samples/amazon-sagemaker-xgboost-regression-model-monitor-and-alerting
How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.
garystafford/sdxl_dreambooth_autotrain_demo
Fine-tuning Stable Diffusion XL on AWS for Generative AI-powered Product Concept Design
windson/audiocraft-musicgen-sagemaker
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
aws-samples/amazon-sagemaker-w-snowflake-as-datasource
Use Snowflake as a source of training data for training a machine learning model in Amazon SageMaker.