neuronika
tonic
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neuronika | tonic | |
---|---|---|
19 | 48 | |
1,033 | 8,951 | |
1.3% | 3.3% | |
0.0 | 8.6 | |
over 1 year ago | 9 days ago | |
Rust | Rust | |
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.
neuronika
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
Also perhaps comparing to Neuronika.
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Making a better Tensorflow thanks to strong typing
how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?
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[D] To what extent can Rust be used for Machine Learning?
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs
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What do I need for an ML/DL based scripting language in Rust?
Also you can take a look at neuronika.
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ML in Rust
There is also https://github.com/neuronika/neuronika
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Enzyme: Towards state-of-the-art AutoDiff in Rust
I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
If you like autograd you will love neuronika
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bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far)
After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.
tonic
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Roll your own auth with Rust and Protobuf
Use tonic-build directly from Rust.
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How to limit different concurrency number by service on Tonic?
} // Omit the remaining code and refer to the example in Tonic: https://github.com/hyperium/tonic/blob/master/examples/src/multiplex/server.rs ```
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Ideas/Suggestions around setting up a data pipeline from scratch
If I’m not misunderstanding, you could both decode the gRPC protobuf AND write to delta lake in Rust. Tonic, Delta-rs.
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Throughput doesn't increase with cores/threads count
Original post: https://github.com/hyperium/tonic/issues/1405. Cross-post here in case the problem is not specific to tonic.
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Getting started with gRPC in Rust
Tonic
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libp2p alternate
Just to double check Is this the correct repo?
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Spaceman: A gRPC client from another world. Comes both as a CLI and as a GUI built with Tauri and Yew.rs
Wasm isn't involved much actually. Basically, the frontend asks the backend to perform a gRPC call on its behalf using Tauri events. They are like named channels on which you can send any serde-compatible value. But the backend is a normal Rust program so there are no constraints there. I use prost-reflect to encode/decode Protobuf messages according to Protobuf descriptors loaded at runtime and make the actual requests using tonic from the tokio ecosystem. prost-reflect is necessary because, normally, tonic expects the Protobuf descriptor to be known at compile time so it can make some code generation behind the scenes.
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Is there something like Feathersjs for Rust?
You could have a look at gRPC i.e. https://github.com/hyperium/tonic
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Tower - middleware or interceptor
Looking at this example code: https://github.com/hyperium/tonic/blob/master/examples/src/tower/server.rs
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Keyword Generics Progress Report: February 2023 | Inside Rust Blog
The remaining gap is remote actors, since you still need some kind of serialization between them, and take your pick of standards for that one such as gRPC using Tonic.
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
clblast-rs - clblast bindings for rust
grpc-rust - Rust implementation of gRPC
autograph - Machine Learning Library for Rust
tarpc - An RPC framework for Rust with a focus on ease of use.
are-we-learning-yet - How ready is Rust for Machine Learning?
axum - Ergonomic and modular web framework built with Tokio, Tower, and Hyper
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
prost - PROST! a Protocol Buffers implementation for the Rust Language
tractjs - Run ONNX and TensorFlow inference in the browser.
rust-prometheus - Prometheus instrumentation library for Rust applications