sagemaker-feature-store-real-time-recommendations
hugging-face-workshop
sagemaker-feature-store-real-time-recommendations | hugging-face-workshop | |
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1 | 1 | |
29 | 26 | |
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0.0 | 0.0 | |
over 1 year ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT No Attribution | Apache License 2.0 |
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sagemaker-feature-store-real-time-recommendations
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ITS URGENT!!!
Can anyone help in running a code on sagemaker? Its a repository hosted on aws-samples still its not running our base is that code if that doesn't work we cant make a project. I have an aws account. https://github.com/aws-samples/sagemaker-feature-store-real-time-recommendations
hugging-face-workshop
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NLP@AWS Newsletter 04/2022
Hugging Face on Amazon SageMaker and AWS Workshop Interested to use NLP to generate models in the style of your favourite poets? This workshop shows you how you can fine tune text generation models in the style of your favourite poets using Hugging Face on Amazon SageMaker.
What are some alternatives?
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁