jni-rs
onnxruntime
Our great sponsors
jni-rs | onnxruntime | |
---|---|---|
5 | 54 | |
1,110 | 12,656 | |
4.1% | 4.6% | |
6.3 | 10.0 | |
12 days ago | 7 days ago | |
Rust | C++ | |
Apache License 2.0 | MIT License |
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.
jni-rs
-
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
-
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:
-
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?
-
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.
onnxruntime
-
Machine Learning with PHP
ONNX Runtime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
-
AI Inference now available in Supabase Edge Functions
Embedding generation uses the ONNX runtime under the hood. This is a cross-platform inferencing library that supports multiple execution providers from CPU to specialized GPUs.
-
Deep Learning in JavaScript
tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.
- FLaNK Stack 05 Feb 2024
-
Vcc – The Vulkan Clang Compiler
- slang[2] has the potential, but the meta programming part is not as strong as C++, existing libraries cannot be used.
The above conclusion is drawn from my work https://github.com/microsoft/onnxruntime/tree/dev/opencl, purely nightmare to work with thoes drivers and jit compilers. Hopefully Vcc can take compute shader more seriously.
[1]: https://www.circle-lang.org/
-
Oracle-samples/sd4j: Stable Diffusion pipeline in Java using ONNX Runtime
I did. It depends what you want, for an overview of how ONNX Runtime works then Microsoft have a bunch of things on https://onnxruntime.ai, but the Java content is a bit lacking on there as I've not had time to write much. Eventually I'll probably write something similar to the C# SD tutorial they have on there but for the Java API.
For writing ONNX models from Java we added an ONNX export system to Tribuo in 2022 which can be used by anything on the JVM to export ONNX models in an easier way than writing a protobuf directly. Tribuo doesn't have full coverage of the ONNX spec, but we're happy to accept PRs to expand it, otherwise it'll fill out as we need it.
- Mamba-Chat: A Chat LLM based on State Space Models
-
VectorDB: Vector Database Built by Kagi Search
What about models besides GPT? Most of the popular vector encoding models aren't using this architecture.
If you really didn't want PyTorch/Transformers, you could consider exporting your models to ONNX (https://github.com/microsoft/onnxruntime).
- ONNX runtime: Cross-platform accelerated machine learning
- Onnx Runtime: “Cross-Platform Accelerated Machine Learning”
What are some alternatives?
j4rs - Java for Rust
onnx - Open standard for machine learning interoperability
java-rust-example - Embedding Rust in Java
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
RustJNI - Run Java code from Rust!
onnx-simplifier - Simplify your onnx model
rucaja
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
cbindgen - A project for generating C bindings from Rust code
onnx-tensorflow - Tensorflow Backend for ONNX
Buzzard - 🦀 Learning Rust by Examples.
MLflow - Open source platform for the machine learning lifecycle