GitHub topics: amazon-sagemaker

Repositories

aws-samples/generative-ai-on-amazon-sagemaker

Amazon SageMaker AI collection of examples, code samples and recipes.

Language: Jupyter Notebook - Size: 33.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 13 - Forks: 7

KarthikaRajagopal44/MPT-7B-amazon-sagemaker-finetuning

fine-tune MPT-7B on Amazon SageMaker

Language: Python - Size: 11.7 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

build-on-aws/deploying-trurl-2-on-amazon-sagemaker

Deploying TRURL 2 on Amazon SageMaker. TRURL 2 is a Large Language Model (LLM), which is a fine-tuned version of LLaMA 2 with support for Polish language developed by VoiceLab and published at the company profile on Hugging Face (https://huggingface.co/Voicelab).

Language: Jupyter Notebook - Size: 934 KB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 2

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: 1 day ago - Pushed at: about 2 months ago - Stars: 241 - Forks: 34

aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Language: Python - Size: 5.94 MB - Last synced at: 14 days ago - Pushed at: 2 months ago - Stars: 255 - Forks: 61

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.

Size: 6.88 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 59 - Forks: 38

aws-samples/amazon-sagemaker-mlops-workshop

MLOps workshop with Amazon SageMaker

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 98 - Forks: 28

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.

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aws/sagemaker-spark

A Spark library for Amazon SageMaker.

Language: Scala - Size: 979 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 299 - Forks: 130

build-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 - Size: 4.84 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4

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

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athewsey/remote-sagemaker

Automating code execution tasks on Amazon SageMaker via APIs

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mindsdb/mindsdb-sagemaker-container 📦

This code is used for making MindsDB run on Amazon SageMaker.

Language: Python - Size: 85 KB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0

aishrock006/Sentimental-analysis-project

The repository contain the 1st project of Udacity's Nanodegree 2020 Machine Learning Engineer Program.

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aishrock006/Plagiarism-detection-project

The repository contain Udacity Nanodegree program 2nd project

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aws-samples/sagemaker-101-workshop

Hands-on demonstrations for data scientists exploring Amazon SageMaker

Language: Jupyter Notebook - Size: 4.42 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 73 - Forks: 47

aws-samples/generative-ai-sagemaker-cdk-demo

Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK

Language: Python - Size: 8.26 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 65 - Forks: 23

aws-samples/cloud-experiments 📦

Open innovation with 60 minute cloud experiments on AWS

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aws-samples/amazon-sagemaker-managed-spot-training

Amazon SageMaker Managed Spot Training Examples

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garystafford/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 - Size: 89.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - 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 at: 12 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

mNemlaghi/cloud-embeddings

A repository for tackling cloud text pre-trained embeddings, from evaluation to deployment, including fine-tuning and vector stores.

Language: Python - Size: 103 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 108 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 40 - Forks: 23

Snowflake-Labs/sfguide-recommender-pipeline

Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker

Language: Python - Size: 3.31 MB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 15

garystafford/huggingface-sagemaker-transformer-demo

Explore the capabilities of transformer models available on Hugging Face to accomplish common NLP tasks on Amazon SageMaker using real-time and batch inference.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 8.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 7

giuseppeporcelli/end-to-end-ml-sm

End to end Machine Learning with Amazon SageMaker

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build-on-aws/recommendation-engine-full-stack

Full Stack Tutorial for building recommendation engine for a streaming platform clone.

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garystafford/sdxl_dreambooth_autotrain_demo

Fine-tuning Stable Diffusion XL on AWS for Generative AI-powered Product Concept Design

Language: Jupyter Notebook - Size: 133 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

netsatsawat/sagemaker-bring-your-own-model

This repository outlined how to deploy your trained model (bring your own model) to deploy on Amazon SageMaker

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rdpahalavan/aws-mlops-cdk

MLOps Project using Amazon SageMaker and AWS CDK

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aws-samples/amazon-sagemaker-safe-deployment-pipeline

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

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aws-samples/TensorFlow-in-SageMaker-workshop

Running your TensorFlow models in Amazon SageMaker

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alireza-mht/Sagemaker-amazon

A thyroid disease detection, Amazon Sagemaker using Scikit-learn Pipeline (StandardScalar & SVM)

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eitansela/eitans-sagemaker-examples

Amazon SageMaker Examples

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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.

Language: JavaScript - Size: 362 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 9

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.

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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.

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aakritianeja/For-all-your-fraud-solutions---Amazon-Fraud-Detector

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aws-samples/sagemaker-end-to-end-workshop

Hands-on end-to-end workshop to explore Amazon SageMaker.

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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.

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aws-samples/amazon-sagemaker-hugging-face-bert-model-fill-mask

How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.

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qtangs/sagemaker-notebook-container

Docker images that replicate the Amazon SageMaker Notebook instance.

Language: Python - Size: 423 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 56 - Forks: 29

DyfanJones/sagemaker-r-sdk

A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk

Language: R - Size: 18.3 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 4

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.

Language: R - Size: 650 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 5

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.

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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.

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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

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sahays/sagemaker-labs

In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

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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

Language: Python - Size: 581 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 1

aws-samples/sagemaker-weather-prediction

This repository contains the files and instructions on using Amazon SageMaker to build linear regression, polynomial regression etc to predict the temperature

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pranaychandekar/keras-sagemaker-train

A project cum tutorial which will help you understand and setup your custom keras project in Amazon SageMaker.

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

jjtiger/Crypto-Cluster

An analysis, interpretation, and presentation of what cryptocurrencies are available on the trading market and how they can be grouped using classification. In this project, there are unsupervised learning and Amazon SageMaker skills exhibited by clustering cryptocurrencies and creating plots to present results.

Language: Jupyter Notebook - Size: 699 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0