neuronika
Tensors and dynamic neural networks in pure Rust. (by neuronika)
are-we-learning-yet
How ready is Rust for Machine Learning? (by anowell)
Our great sponsors
| neuronika | are-we-learning-yet | |
|---|---|---|
| 19 | 5 | |
| 908 | 312 | |
| 3.9% | - | |
| 0.0 | 4.9 | |
| 5 months ago | 9 days ago | |
| Rust | Rust | |
| Apache License 2.0 | Creative Commons Attribution 4.0 |
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.
neuronika
Posts with mentions or reviews of neuronika.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-02.
- 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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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.
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What are you using Rust for?
me and a colleague of mine are developing neuronika
are-we-learning-yet
Posts with mentions or reviews of are-we-learning-yet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-02.
-
This year I tried solving AoC using Rust, here are my impressions coming from Python!
Also http://arewelearningyet.com
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Hey OP, you might want to check this site out: http://arewelearningyet.com
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Is rust good for mathematical computing?
Note that you can update the page (adding packages or updating descriptions) via those github issues: https://github.com/anowell/are-we-learning-yet/issues
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I wanted to share my experience of Rust as a deep learning researcher
Not sure if you’ve encountered it, but you should be aware of http://arewelearningyet.com
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Just make a PR: https://github.com/anowell/are-we-learning-yet
What are some alternatives?
When comparing neuronika and are-we-learning-yet you can also consider the following projects:
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
autograph - Machine Learning Library for Rust
tonic - A native gRPC client & server implementation with async/await support.
tractjs - Run ONNX and TensorFlow inference in the browser.
clblast-rs - clblast bindings for rust
skytable - Skytable is a fast, secure and reliable realtime NoSQL database with keyspaces, tables, data types, authn/authz, snapshots and more to build powerful apps
conan-center-index - Recipes for the ConanCenter repository
justrunmydebugger - just run my debugger
rustdesk - Virtual / remote desktop infrastructure for everyone! Open source TeamViewer / Citrix alternative.
book - The Rust Programming Language
sciter-js-sdk - Sciter.JS - Sciter but with QuickJS on board instead of my TIScript