featureform
vald
| featureform | vald | |
|---|---|---|
| 28 | 13 | |
| 1,705 | 1,463 | |
| 1.5% | 1.2% | |
| 9.6 | 9.3 | |
| about 2 hours ago | 6 days ago | |
| Jupyter Notebook | Go | |
| Mozilla Public License 2.0 | Apache 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
- 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
vald
- What is the reason for using go mod replace like this?
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Top 10 Best Vector Databases & Libraries
Vald (1.2k ⭐) → A highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data.
- open-source google-like search for workplace knowledge
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[P] Embeddinghub: A vector database built for ML embeddings
Another approximate nearest neighbor system to look at: https://vald.vdaas.org/
- Vector Search Indexes
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Vald: a highly scalable distributed fast approximate nearest neighbour dense vector search engine.
Web: https://vald.vdaas.org
GitHub: https://github.com/vdaas/vald
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Hacker News top posts: Apr 9, 2021
Vald: A Highly Scalable Distributed Vector Search Engine\ (26 comments)
- Vald: A Highly Scalable Distributed Vector Search Engine
What are some alternatives?
feast - Feature Store for Machine Learning
Milvus - A cloud-native vector database, storage for next generation AI applications
faiss - A library for efficient similarity search and clustering of dense vectors.
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
awesome-vector-search - Collections of vector search related libraries, service and research papers
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
alvd - alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python