arrayfire-rust
neuronika
Our great sponsors
arrayfire-rust | neuronika | |
---|---|---|
4 | 19 | |
804 | 1,033 | |
-0.4% | 1.3% | |
0.0 | 0.0 | |
7 months ago | over 1 year ago | |
Rust | Rust | |
BSD 3-clause "New" or "Revised" 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.
arrayfire-rust
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Making a better Tensorflow thanks to strong typing
Take a look at arrayfire-rust! :)
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Fast Linear Algebra library for Rust
I haven't tried it myself, but I believe that arrayfire-rust supports GPU.
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Saving an ArrayFire Array
the Git Repo is here.
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State of CUDA on Rust in the beginning of 2021 ?
edit: I apparently missed seeing ArrayFire Rust library. It looks like if you wanted to still use Rust and CUDA this might be your best option for at least compute applications.
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?
nalgebra - Linear algebra library for Rust.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
futhark - :boom::computer::boom: A data-parallel functional programming language
clblast-rs - clblast bindings for rust
rust-opencl - OpenCL bindings for Rust.
autograph - Machine Learning Library for Rust
ILGPU - ILGPU JIT Compiler for high-performance .Net GPU programs
are-we-learning-yet - How ready is Rust for Machine Learning?
collenchyma - Extendable HPC-Framework for CUDA, OpenCL and common CPU
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
Emu - The write-once-run-anywhere GPGPU library for Rust
tractjs - Run ONNX and TensorFlow inference in the browser.