smarty_pants
neuronika
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smarty_pants | neuronika | |
---|---|---|
1 | 19 | |
3 | 1,033 | |
- | 1.3% | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Rust | Rust | |
MIT License | Apache License 2.0 |
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.
smarty_pants
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I wrote a Neural Network library.
The idea is that you can simply use this crate with your project to easily train a neural network using your project. The library supports creating, training, parsing, and running. It may gain more functionality in the future. As it stands it's quite small and pretty fast with 5 NeuralNetworks taking nano-seconds to train 1000 generations in the example program. I've tried to make sure that it is "complete" and as such, I've documented nearly every function, method, and struct. I've also written an example project and tried to make it relatively easy to use.
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.
What are some alternatives?
crates.io - The Rust package registry
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
clblast-rs - clblast bindings for rust
autograph - Machine Learning Library for Rust
are-we-learning-yet - How ready is Rust for Machine Learning?
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
skytable - Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
tractjs - Run ONNX and TensorFlow inference in the browser.
tonic - A native gRPC client & server implementation with async/await support.
conan-center-index - Recipes for the ConanCenter repository
sciter-js-sdk - Sciter.JS - Sciter but with QuickJS on board instead of my TIScript
rustdesk - An open-source remote desktop, and alternative to TeamViewer.