incubator-uniffle
Deeplearning4j
incubator-uniffle | Deeplearning4j | |
---|---|---|
3 | 13 | |
357 | 13,450 | |
2.0% | 0.4% | |
9.5 | 5.8 | |
about 20 hours ago | 5 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-uniffle
- Apache Uniffle: high performance, general purpose remote shuffle service
- Apache Uniffle: a high performance remote shuffle service for Spark
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Apache Uniffle (incubating): Uniffle is a high performance, general purpose Remote Shuffle Service.
Our project enter the Apache incubator in the June. https://github.com/apache/incubator-uniffle
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?
PowerJob - Enterprise job scheduling middleware with distributed computing ability.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
flink-remote-shuffle - Remote Shuffle Service for Flink
Weka
Alluxio (formerly Tachyon) - Alluxio, data orchestration for analytics and machine learning in the cloud
tensorflow - An Open Source Machine Learning Framework for Everyone
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Smile - Statistical Machine Intelligence & Learning Engine
doris - Apache Doris is an easy-to-use, high performance and unified analytics database.
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