Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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Updated
Jun 11, 2024 - Python
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
AI + Data, online. https://vespa.ai
ClickHouse® is a real-time analytics DBMS
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
北京交通大学计算机与信息技术学院系统与网络实验室 https://fangvv.github.io/Homepage/
Machine Learning for HPC Workflows
Open-source BI for engineers
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Apache Ignite 3
Reactive Network of Operators In Rust. Framework for Parallel and distributed computation inspired from the DataFlow model
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Apache Ignite
Data-Centric Pipelines and Data Versioning
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