onnxruntime-extensions
onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime (by microsoft)
Deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. (by deeplearning4j)
onnxruntime-extensions | Deeplearning4j | |
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1 | 13 | |
265 | 13,441 | |
3.8% | 0.4% | |
9.0 | 5.8 | |
6 days ago | 5 days ago | |
Python | Java | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
onnxruntime-extensions
Posts with mentions or reviews of onnxruntime-extensions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-29.
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Best way to combine Python and Java?
Image preprocessing I know less about, but tokenization is something I've dealt with a bunch. There are a few options, either push the tokenizer into the ONNX model and use MS's ONNX Runtime extensions (we've used this when working with sentencepiece tokenizers), port the tokenizer entirely to Java (we did this for BERT), or use a sentencepiece or HF tokenizers wrapper directly (e.g. Amazon's DJL did this - HF, sentencepiece).
Deeplearning4j
Posts with mentions or reviews of Deeplearning4j.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-29.
- 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?
When comparing onnxruntime-extensions and Deeplearning4j you can also consider the following projects:
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
jep - Embed Python in Java
Weka
deephaven-core - Deephaven Community Core
tensorflow - An Open Source Machine Learning Framework for Everyone
JPassport - JPassport
Smile - Statistical Machine Intelligence & Learning Engine
jpy
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
javacpp-embedded-python - With this library, you can embed Python to your Java or Scala project. The main purpose of this library is to use Python libraries from Java or Scala.
Apache Mahout - Mirror of Apache Mahout
onnxruntime-extensions vs Deep Java Library (DJL)
Deeplearning4j vs Deep Java Library (DJL)
onnxruntime-extensions vs jep
Deeplearning4j vs Weka
onnxruntime-extensions vs deephaven-core
Deeplearning4j vs tensorflow
onnxruntime-extensions vs JPassport
Deeplearning4j vs Smile
onnxruntime-extensions vs jpy
Deeplearning4j vs Pytorch
onnxruntime-extensions vs javacpp-embedded-python
Deeplearning4j vs Apache Mahout