featureform
Embeddinghub-Anime-Recommender
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| featureform | Embeddinghub-Anime-Recommender | |
|---|---|---|
| 28 | 1 | |
| 1,670 | 1 | |
| 0.8% | - | |
| 9.7 | 0.0 | |
| 6 days ago | over 2 years ago | |
| Jupyter Notebook | Python | |
| 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.
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/
- [D] Your 🫵 Preferred Feature Stores?
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How to Build a Recommender System with Embeddinghub
Usually embeddings — dense numerical representations of real-world objects and relationships, expressed as a vector — are stored in database servers such as PostgreSQLEmbedding. However Embeddinghub makes it easier to store your embeddings and load them. You can get started with minimal setup, and it also makes your code look less verbose as compared to, say, building a KNN model using scikit-learn.
- [P] Embeddinghub: A vector database built for ML embeddings
Embeddinghub-Anime-Recommender
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How to Build a Recommender System with Embeddinghub
If you followed along with this tutorial, you just built a content-based recommendation model to recommend anime. And if you didn’t, the source code for it is right here.
What are some alternatives?
feast - Feature Store for Machine Learning
Milvus - A cloud-native vector database, storage for next generation AI applications
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
awesome-vector-search - Collections of vector search related libraries, service and research papers
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
bytehub - ByteHub: making feature stores simple
iwlearn - "Production First" Machine Learning Framework
datahub - The Metadata Platform for your Data Stack
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
sagemaker-feature-store-real-time-recommendations - Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.