amazon-sagemaker
There are 3 repositories under amazon-sagemaker topic.
- awesome-aws-workshops
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.
Language:HTML 409 aws / sagemaker-spark
A Spark library for Amazon SageMaker.
Language:Scala 299aws-samples / amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
Language:Python 246A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Language:Python 219Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
Language:Jupyter Notebook 104- cloud-experiments
Open innovation with 60 minute cloud experiments on AWS
Language:Jupyter Notebook 88 MLOps workshop with Amazon SageMaker
Language:Jupyter Notebook 84Hands-on demonstrations for data scientists exploring Amazon SageMaker
Language:Jupyter Notebook 76Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
Language:Python 68aws-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.
Language:Python 58qtangs / sagemaker-notebook-container
Docker images that replicate the Amazon SageMaker Notebook instance.
Language:Python 58Amazon SageMaker Managed Spot Training Examples
Language:Jupyter Notebook 50Hands-on end-to-end workshop to explore Amazon SageMaker.
Language:Jupyter Notebook 49- 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.
Language:Jupyter Notebook 42 giuseppeporcelli / end-to-end-ml-sm
End to end Machine Learning with Amazon SageMaker
Language:Jupyter Notebook 37Ditectrev / 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.
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
Language:HTML 33Running your TensorFlow models in Amazon SageMaker
Language:Jupyter Notebook 33Snowflake-Labs / sfguide-recommender-pipeline
Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
Language:Python 31ohke / 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
Language:Python 24purvasingh96 / 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.
deep-learningsummarized-notespytorchconvolutional-neural-networksreccurent-neural-networkstyle-transfersentiment-analysisudacityword2vectransfer-learningattention-modelgenerative-adversarial-networkcycle-ganamazon-sagemakerdeploy-machine-learningnatural-language-processingnatural-language-generationtext-classificationsentiment-classificationbert-modelLanguage:Jupyter Notebook 23Ashleshk / 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.
Language:Jupyter Notebook 19Implementation 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.
Language:Jupyter Notebook 17awslabs / 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.
Language:JavaScript 17DyfanJones / sagemaker-r-sdk
A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk
Language:R 12This repo contains demo code for reInvent2021 session AIM408 Achieve high performance and cost-effective model deployment
Language:Jupyter Notebook 10This 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.
Language:R 8build-on-aws / fullstack-llm-langchain-chatbot-on-aws
Build a Full stack Q&A Chatbot with Langchain, and LLM Models on Amazon Sagemaker
Language:JavaScript 8garystafford / svdxt-sagemaker-huggingface
Deploy and invoke Stability AI's Stable Video Diffusion XT (SVT-XT) 1.1 foundation model on Amazon SageMaker.
Language:Jupyter Notebook 7mindsdb / mindsdb-sagemaker-container
This code is used for making MindsDB run on Amazon SageMaker.
Language:Python 7phreakyphoenix / 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.
Language:HTML 7pranaychandekar / keras-sagemaker-train
A project cum tutorial which will help you understand and setup your custom keras project in Amazon SageMaker.
Language:Jupyter Notebook 7How 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.
Language:Jupyter Notebook 6Fine-tuning Stable Diffusion XL on AWS for Generative AI-powered Product Concept Design
Language:Jupyter Notebook 5windson / audiocraft-musicgen-sagemaker
Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
Language:Jupyter Notebook 5Use Snowflake as a source of training data for training a machine learning model in Amazon SageMaker.
Language:HTML 4