deephaven-core
onnxruntime-extensions
deephaven-core | onnxruntime-extensions | |
---|---|---|
2 | 1 | |
230 | 265 | |
1.3% | 3.8% | |
9.8 | 9.0 | |
7 days ago | 6 days ago | |
Java | Python | |
GNU General Public License v3.0 or later | MIT License |
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deephaven-core
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Best way to combine Python and Java?
Hi - I'm one of the current maintainers of jpy (in support of https://github.com/deephaven/deephaven-core, we use it extensively). Happy to triage any issues you are having with it.
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Welcome to Deephaven!
Deephaven Gitter GitHub discussions GitHub Q&A
onnxruntime-extensions
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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).
What are some alternatives?
javacpp-embedded-python - With this library, you can embed Python to your Java or Scala project. The main purpose of this library is to use Python libraries from Java or Scala.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
dbus-java - Improved version of java DBus library provided by freedesktop.org (https://dbus.freedesktop.org/doc/dbus-java/)
jep - Embed Python in Java
jpy
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.
JPassport - JPassport