onnx-tensorflow
Tensorflow Backend for ONNX (by onnx)
jni-rs
Rust bindings to the Java Native Interface — JNI (by jni-rs)
| onnx-tensorflow | jni-rs | |
|---|---|---|
| 6 | 5 | |
| 1,236 | 1,115 | |
| 0.6% | 2.4% | |
| 0.0 | 6.3 | |
| about 1 month ago | 18 days ago | |
| Python | Rust | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
onnx-tensorflow
Posts with mentions or reviews of onnx-tensorflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-27.
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How to Solve "BackendIsNotSupposedToImplementIt: Unsqueeze version 13 is not implemented."?
How to solve this? I found below github issue which they solved i think, but im not to able to find the solution https://github.com/onnx/onnx-tensorflow/pull/1022
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[D] Library to transfer PyTorch to TF
Okay, maybe it worked some years ago. The issue currently is that the trainable weights get lost...which is by design https://github.com/onnx/onnx-tensorflow/issues/1002
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
TLDR: I'm using onnx-tf to convert an onnx model to tensorflow. During the conversion I lose important information such as inputs, outputs and the names of operators. Please read on if you have experience with this library or you've experienced similar issues. :)
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Portability of Rust in 2021
We had a few small issues with ONNX. Export worked but when running with e.g. tflite stumbled for example across this https://github.com/onnx/onnx-tensorflow/issues/853 Also the support for sampling from distributions is generally still pretty weak, but we were able to work around that.
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[D] How to reduce latency of DL models
https://pytorch.org/tutorials/advanced/super\_resolution\_with\_onnxruntime.html https://github.com/onnx/onnx-tensorflow
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Possible to retrain onnx model?
https://github.com/onnx/onnx-tensorflow Haven’t tried it, let me know if it works.
jni-rs
Posts with mentions or reviews of jni-rs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-10.
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A system Steam should add
I do have education and real experience in the field. See, for example, my recent work on the rather arcane subject of Rust↔Java FFI. You don't get to pull rank with me, son. I know quite well what CreateFile does. (Fun fact: it creates a file handle, i.e. opens a file, and may or may not create the file itself.)
- Scala project rewrite
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Having trouble understanding JNI
I've been playing around with jni-rs, I'm eventually planning on developing an app with Java gui and Rust backend. However I'm having some trouble advancing past HelloWorld lol. For example, here's some simple code that doesn't work and I really can't figure out why:
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Portability of Rust in 2021
- JNI - how well does https://github.com/jni-rs/jni-rs work? Assuming that Firefox runs on Android and uses Rust this should be reasonable to work with?
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Project Ideas
Even so, staying relatively close to the Java focus of the class might be a good idea, since it will help prepare you for the AP exam. One idea would be using jni-rs to build Java bindings for a useful Rust library. Interesting candidates might be io-uring, lockfree, or even pyo3, if you wanted to try your hand at integrating Java and Python.
What are some alternatives?
When comparing onnx-tensorflow and jni-rs you can also consider the following projects:
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
j4rs - Java for Rust
netron - Visualizer for neural network, deep learning and machine learning models
java-rust-example - Embedding Rust in Java
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
RustJNI - Run Java code from Rust!
guesslang - Detect the programming language of a source code
cbindgen - A project for generating C bindings from Rust code
models - Models and examples built with TensorFlow
rucaja
pytorch2keras - PyTorch to Keras model convertor
Buzzard - 🦀 Learning Rust by Examples.