java
rr
| java | rr | |
|---|---|---|
| 6 | 4 | |
| 768 | 450 | |
| 4.4% | - | |
| 8.6 | 6.2 | |
| 20 days ago | 7 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.
java
- FLaNK Weekly 08 Jan 2024
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What libraries do you use for machine learning and data visualizing in scala?
There are Java bindings for TensorFlow, but that's quite low level. I tried to see if I can get some Keras API for Scala, but I'm no expert and haven't had enough time to invest in this, so it's stuck in alpha. Maybe I develop it slow burning over the next year. A bit envious that Kotlin has a Keras-like library.
- Choosing Java as your language for a Machine Learning project
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TensorFlow introduction that works with Java
Hope this is not too late to answer your question. In theory there are no official Java tutorials for Tensorflow 2. The Java implementation is still under development at https://github.com/tensorflow/java
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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.
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Can we use the keras model in another programming language, such as java or etcs?
Here's the latest java git repo https://github.com/tensorflow/java
rr
- FLaNK Weekly 08 Jan 2024
- RR – Railroad Diagram Generator
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nom 7.0 release: fast parser combinators, now without macros! And the new nom-bufreader!
I do it in two parts for nom. I write up the EBNF grammar and generate railroad diagrams with this tool, and then write up the nom parsers, coupling the function names to the grammar rules. Having the diagrams in my repo tends to help me read through it, and makes updates easier.
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Red: A programming language inspired by REBOL
It seems pretty similar to this free one
https://github.com/GuntherRademacher/rr
What are some alternatives?
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
red - Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and cross-platform reactive GUI, while providing modern support for concurrency, all in a zero-install, zero-config, single ~1MB file!
JNA - Java Native Access
kafka-serialization - Experiments and demonstrations of AVRO, Protobuf serialisation
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
nom - Rust parser combinator framework
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
AnyText - Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala
community - The central place for Red users scripts
java-models - Models in Java
deskhop - Fast Desktop Switching Device