incubator-wayang
Deeplearning4j
Our great sponsors
incubator-wayang | Deeplearning4j | |
---|---|---|
18 | 13 | |
167 | 13,424 | |
2.4% | 0.5% | |
9.4 | 6.5 | |
3 days ago | 10 days ago | |
Java | Java | |
Apache 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.
incubator-wayang
- Support different jdbc platforms and multiple instances of same DBMS
- Native kmeans with sparkML in a WayangPlan()
- Show HN: Apache Wayang, multi-platform execution enggine
- k-means with Wayang - Readme updated
- Wayang can now support simple and basic SPJ queries for decoupled JDBC sources
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Apache Calcite support added to Wayang!
Initial version of the SQL API by kbeedkar · Pull Request #284 · apache/incubator-wayang (github.com)
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Join the Apache Wayang Project - An Open-Source Federated Data Framework
Are you interested in distributed machine learning and looking for an open-source project to contribute to? Check out Apache Wayang! It’s a Federated Data framework that provides a platform for distributed data processing with ease of use and flexibility. It supports multiple FL scenarios and includes tools and components for building FL systems, as well as support for various communication protocols and data formats. Come join our community on Github (https://github.com/apache/incubator-wayang) and help us build something amazing! Learn more via wayang.apache.org
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Star us on GitHub
Apache Wayang enables cross platform data processing, star it via: https://github.com/apache/incubator-wayang
- Agnostic application framework in ASF incubation, FL, BigData
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Join Apache Wayang and change the world of data
Thank you, by PR via https://github.com/apache/incubator-wayang, joining our mailing list for developers (https://wayang.apache.org/community/) or submitting patches / ideas. The current new release branch is https://github.com/apache/incubator-wayang/tree/WAYANG-agoraeo
Deeplearning4j
- Deeplearning4j Suite Overview
- Java for ML?
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Best way to combine Python and Java?
Have you considered migrating off of Python to just using JVM ML libraries then? I hear good things about Deeplearning4j, but there's quite a few.
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Anybody here using Java for machine learning?
I've gone to the linux workflow as directed in the docs and reconstructed the maven command line:
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Data Science Competition
DL4J
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Java Matrix Benchmark is Updated! See how linear algebra libraries compare for speed
Hey folks, just letting you know we see this thread and I appreciate you guys running these benchmarks. I'm not seeing any of your posts on our forums. I think I saw a notification from our examples but we do not actually monitor that. Please use: https://community.konduit.ai/ or at least the main repo dl4j issues: https://github.com/eclipse/deeplearning4j/issues and you'll get a lot more visibility. Thanks!
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Does Java has similar project like this one in C#? (ml, data)
Also, the website is now redirected to: https://deeplearning4j.konduit.ai/
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If it gets better w age, will java become compatible for machine learning and data science?
On top of this several popular projects have been built. This includes tensorflow-java and our project eclipse deeplearning4j: https://github.com/eclipse/deeplearning4j
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Matrices multiplication benchmark: Apache math vs colt vs ejml vs la4j vs nd4j
Nd4j is actively developed. The latest commit was 6 hours ago. Nd4j is part of deeplearning4j which is now owned by eclipse (but the main contributors are from a company) https://github.com/eclipse/deeplearning4j/tree/master/nd4j
What are some alternatives?
radiance - Building modern, elegant and fast Swing applications
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
capacitor - Build cross-platform Native Progressive Web Apps for iOS, Android, and the Web ⚡️
Weka
Codename One - Cross-platform framework for building truly native mobile apps with Java or Kotlin. Write Once Run Anywhere support for iOS, Android, Desktop & Web.
tensorflow - An Open Source Machine Learning Framework for Everyone
libGDX - Desktop/Android/HTML5/iOS Java game development framework
Smile - Statistical Machine Intelligence & Learning Engine
weblaf - WebLaF is a fully open-source Look & Feel and component library written in pure Java for cross-platform desktop Swing applications.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Apache Mahout - Mirror of Apache Mahout
H2O - Sparkling Water provides H2O functionality inside Spark cluster