awesome-java
Deep Java Library (DJL)
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awesome-java | Deep Java Library (DJL) | |
---|---|---|
14 | 13 | |
39,820 | 3,830 | |
- | 1.9% | |
7.2 | 9.4 | |
21 days ago | 2 days ago | |
Java | ||
GNU General Public License v3.0 or later | 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.
awesome-java
- Alright lads it seems like all the cool projects/companies I want to work in want Java, I'll bite, I come from C#/Typescript, any Java project recommendations I should start on the side?
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What's the deal with Vaadin add-ons?
You, whether a web or Java expert, know the best approach. With the Vaadin add-on, you can decide and build and deliver your web components in a highly maintainable way that is best for both worlds: Ever evolving APIs and critical Java backends.
- Primeiros passos no desenvolvimento Java em 2023: um guia particular
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What kind of school would be best for Coding at my age?
awesome java https://github.com/akullpp/awesome-java
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Do you know any frameworks that should be used with Java or javafx?
Both Awesome Java and Awesome JavaFX have very comprehensive lists of frameworks.
- Is it reasonable to expect to work entirely with Kotlin?
- Awesome Software Architecture: A curated list of useful resources about software architecture and design principles.
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Current Java Trends
There is no industry that hasn’t tried to use Java, it's everywhere: from manufacturing and medicine to games and enterprise. You can use it to automate your daily tasks or create a smart house. Check out, for example, this extensive list of different libraries and frameworks that are using Java and have become successful in the field.
- A curated list of awesome frameworks, libraries and software for the Java programming language
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Wish there was a Java lib for…
https://github.com/akullpp/awesome-java is a good start.
Deep Java Library (DJL)
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Is deeplearning4j a good choice?
It seems to have been picked up by Eclipse and there is also Oracle Labs' Tribuo and Deep Java Library. All seem active, but I don't know much about any of them. I agree it's probably best to follow the community and use a more popular tool like PyTorch.
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Just want to vent a bit
Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
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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).
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Anybody here using Java for machine learning?
https://djl.ai/ seems very promising. I've played around with it quite a bit, not in real production though. It's a very well documented (https://d2l.djl.ai/) and active project, with Amazon working on it.
- Good document classification library in Java
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2021-09 - Plans & Hopes for Clojure Data Science
Here is link number 1 - Previous text "DJL"
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[D] Java vs Python for Machine learning
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
- Does Java has similar project like this one in C#? (ml, data)
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If it gets better w age, will java become compatible for machine learning and data science?
I think DJL also use use it for their tutorials - https://docs.djl.ai/jupyter/tutorial/01_create_your_first_network.html.
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Machine learning on JVM
AWS Deep Learning more deep learning.
What are some alternatives?
initializr - A quickstart generator for Spring projects
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.
awesome-software-architecture - A curated list of awesome articles, videos, and other resources to learn and practice about software architecture, patterns, and principles.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
nativefiledialog - A tiny, neat C library that portably invokes native file open and save dialogs.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Javet - Javet is Java + V8 (JAVa + V + EighT). It is an awesome way of embedding Node.js and V8 in Java.
Tribuo - Tribuo - A Java machine learning library
Apache PDFBox - Mirror of Apache PDFBox
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
indexer4j - Simple full text indexing and searching library for Java
Apache Flink - Apache Flink