sagemaker-feature-store-real-time-recommendations
featureform
| sagemaker-feature-store-real-time-recommendations | featureform | |
|---|---|---|
| 1 | 28 | |
| 29 | 1,711 | |
| - | 2.6% | |
| 0.0 | 9.6 | |
| over 1 year ago | 2 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT No Attribution | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
featureform
- Still look familiar?
- Featureform: A Python Framework for the Entire Feature Lifecycle. Define, Version, Orchestrate, & Deploy ML Features with OSS Featureform!
- Does this look familiar?
- Does this look familiar? Define, Manage, & Serve your ML Features with OSS Featureform!
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What’s your process for deploying a data pipeline from a notebook, running it, and managing it in production?
Feature store: new hot one: https://www.featureform.com/
- featureform / featureform :
- Featureform: An Open-Source Feature Store for your ML Features
What are some alternatives?
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
feast - The Open Source Feature Store for Machine Learning
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Milvus - A cloud-native vector database, storage for next generation AI applications
hugging-face-workshop - A 90-minute hands on workshop about Hugging Face on SageMaker.
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
awesome-vector-search - Collections of vector search related libraries, service and research papers
serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
vald - Vald. A Highly Scalable Distributed Vector Search Engine