krust
counts k-mers, written in rust (by suchapalaver)
neuronika
Tensors and dynamic neural networks in pure Rust. (by neuronika)
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krust | neuronika | |
---|---|---|
5 | 19 | |
29 | 1,033 | |
- | 1.3% | |
5.4 | 0.0 | |
7 months ago | over 1 year ago | |
Rust | Rust | |
MIT License | Apache License 2.0 |
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.
krust
Posts with mentions or reviews of krust.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-01.
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Feedback on a K-mer counter written in Rust
I’m not a bioinformatician, I’m just a software engineer. I made krust because I wanted to learn Rust. I’ve kept working on it and I’m surprised it has as many as 22 stars on GitHub, from people who seem to be in bioinformatics for the most part. So it seems like it’s somewhat interesting/useful. But I don’t know what would make this more/less useful for a specialist.
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What are you using Rust for?
Been learning Rust by making a k-mer counter — bioinformatics 101 tool for counting the frequency of substrings of length k in DNA data: https://github.com/suchapalaver/krust. Would love feedback.
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I wrote a fast kmer counter in Rust called krust. I would love for people to get use out of it and for me to get feedback! Thanks and all the best!
Adding all suggestions as issues on github ;) https://github.com/suchapalaver/krust/issues/6
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Help needed getting started with concurrency, making use of my cores …
Thanks again for your suggestion. In case you’re interested, I followed up and used rayon in my program: https://github.com/suchapalaver/krust/blob/main/src/lib.rs. All the best!
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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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?
When comparing krust and neuronika you can also consider the following projects:
nvim-matrix-bot - Just a bot for Neovim's Matrix room(s)
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
winsafe - Windows API and GUI in safe, idiomatic Rust.
clblast-rs - clblast bindings for rust
calligrapher-ai - Handwriting Synthesis with RNNs ✍🏻
autograph - Machine Learning Library for Rust
image-shrinker-lite - Drag-and-drop image compression app.
are-we-learning-yet - How ready is Rust for Machine Learning?
swiki - Minimal Rust + Markdown wiki
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
tractjs - Run ONNX and TensorFlow inference in the browser.