tensorflow-keras-scala
java
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| tensorflow-keras-scala | java | |
|---|---|---|
| 1 | 6 | |
| 1 | 742 | |
| - | 1.9% | |
| 0.0 | 8.7 | |
| about 2 years ago | 2 days ago | |
| Scala | Java | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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tensorflow-keras-scala
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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.
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
What are some alternatives?
Smile - Statistical Machine Intelligence & Learning Engine
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
JNA - Java Native Access
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Apache Solr - Apache Lucene and Solr open-source search software
java-models - Models in Java
nitro - An inference server on top of llama.cpp. OpenAI-compatible API, queue, & scaling. Embed a prod-ready, local inference engine in your apps. Powers Jan
Tensorflow_scala - TensorFlow API for the Scala Programming Language
1brc - 1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java