wasmer-java
java
| wasmer-java | java | |
|---|---|---|
| 8 | 6 | |
| 557 | 768 | |
| 0.0% | 3.5% | |
| 0.0 | 8.6 | |
| almost 2 years ago | 16 days ago | |
| Java | Java | |
| MIT License | Apache License 2.0 |
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wasmer-java
- FLaNK Weekly 08 Jan 2024
- FLaNK Stack Weekly for 12 September 2023
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Announcing CheerpJ 3.0: a JVM replacement in HTML5 and WebAssembly to run Java applications (and applets) on modern browsers
Great idea! Luckily, there's https://github.com/wasmerio/wasmer-java, so you can easily run that wasm binary in your JVM running in your browser!
- Do goroutines typically run ontop of operating system threads?
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CC:Tweaked meets WASM
The biggest integration library is wasmer. It's intended as a server runtime for wasm. The official port wasmer-java has the problem of not supporting imports and that's also not to be implemented in the near future (they are restructuring the wasmer library according to this issue), the other is wasmer-jni. An inofficial jni-binding for the wasmer base implementation. Less nice to use, but feature complete.
- Since Clojure runs on the JVM and interops with Java, am I able to use wasmer to run web assembly modules from Clojure?
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Looking for Java Based RandomX Miner
Check how the rust compiler can target Web Assembly and then have a look at https://github.com/wasmerio/wasmer-java
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IOTA 1.5 Java client library
If your savvy with WASM I think you could compile to wasm and make java bindings with https://github.com/wasmerio/wasmer-java
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?
webassembly-wasi-experiments - Discover WebAssembly System Interface (WASI) with C/Rust use cases
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
GoJavaWasm - A Java project for running Go(lang)'s WebAssembly code
JNA - Java Native Access
wasmer-jni - wasmer java binding
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
JavaCPP - The missing bridge between Java and native C++
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
tensorflow-keras-scala - Scala-based Keras API for the Java bindings to TensorFlow. Mirror of https://codeberg.org/sciss/tensorflow-keras-scala
iota.rs - Official IOTA Rust library.
java-models - Models in Java