JGAAP
The Java Graphical Authorship Attribution Program (by evllabs)
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)
| JGAAP | Deeplearning4j | |
|---|---|---|
| 4 | 13 | |
| 253 | 13,427 | |
| -1.2% | 0.3% | |
| 4.2 | 5.8 | |
| 11 months ago | 3 days ago | |
| Java | Java | |
| - | 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.
JGAAP
Posts with mentions or reviews of JGAAP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-13.
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Professor says I used ChatGPT
There's an open source algorithmic tool you can use to feed pre-gpt writing samples to and then give it a post GPT Sample and ask if it is the same author. You can use Wikipedia texts, other journal articles, and actual GPT texts as your adversarial examples. https://github.com/evllabs/JGAAP there are other newer neural network based5 programs too, but you'll have to Google it and figure out which one is best for your case.
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Question: Authors reusing the same rare words
And you can download a copy of one of the linguistic analysis tools they apparently used here, though you'll have to run it locally, there's no hosted version: https://github.com/evllabs/JGAAP
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Critical New 0-day Vulnerability in Popular Log4j Library - List of applications
EVLLABS JGAAP : https://github.com/evllabs/JGAAP/releases/tag/v8.0.2
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The layout of the threat e-mail on Phil's Twitter looks familiar
Example desktop tool: https://github.com/evllabs/JGAAP
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 JGAAP and Deeplearning4j you can also consider the following projects:
JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
nelson - Automated, multi-region container deployment
Weka
SuperStyl - Supervised Stylometry
tensorflow - An Open Source Machine Learning Framework for Everyone
signald
Smile - Statistical Machine Intelligence & Learning Engine
security-tools
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
openhab-distro - The binary distribution of openHAB
Apache Mahout - Mirror of Apache Mahout