deeplearning4j-examples
Deeplearning4j
| deeplearning4j-examples | Deeplearning4j | |
|---|---|---|
| - | 13 | |
| 2,268 | 13,427 | |
| - | 0.3% | |
| 7.7 | 5.8 | |
| over 1 year ago | 6 days ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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deeplearning4j-examples
We haven't tracked posts mentioning deeplearning4j-examples yet.
Tracking mentions began in Dec 2020.
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?
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
samples - JavaFX samples to run with different options and build tools
Weka
downlords-faf-client - Official client for Forged Alliance Forever
tensorflow - An Open Source Machine Learning Framework for Everyone
datascience - Curated list of Python resources for data science.
Smile - Statistical Machine Intelligence & Learning Engine
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
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing