neuronika
Rust-Bio
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neuronika | Rust-Bio | |
---|---|---|
19 | 9 | |
1,020 | 1,479 | |
0.0% | 2.6% | |
0.0 | 6.7 | |
over 1 year ago | 2 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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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
Rust-Bio
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bioinformatic libraries and zig?
Does anyone know of zig native libraries for bioinformatics (here is a Rust example https://rust-bio.github.io/ )? It seems as though one could pull in a lot of bioinformatics C libraries such as done with https://github.com/brentp/hts-zig.
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Proteomics search engine written in Rust
e.g. Rust-Bio
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What are your top 3-5 programming languages and why?
I would start with the book and then rust-bio library. Rust is a pretty low level language compared to R/Python. It’s an especially good fit for writing efficient tools that make use of the kinds of algorithms / data structures that are implemented in rust-bio.
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I have to admit. The free code camp course is a bit more sparing than I would have preferred. How did everyone learn Rust?
Absolutely! It already is, e.g., https://github.com/rust-bio/rust-bio. I'm moving from the academia/nonprofit world into industry bioinformatics, and I intend to use Rust as much as possible. I've already replaced as much of my Python as possible with Rust. I feel I'm able to create larger, more complex programs with Rust because I have the compiler to keep me from making common mistakes that are so easy to make in dynamically typed languages like Perl and Python. It might take longer to write a program initially, but I've started to create a library of functions I can paste together to do things like parse a positive integer, find a bunch of files with a certain file extension, search through data for a pattern, parse CSV files, etc. Writing my latest book has provided even more common patterns I keep finding I use over and over.
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Whats your favourite open source Rust project that needs more recognition?
Well, someone mentioned https://rust-bio.github.io/
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How can one make Rust excel in the Sciences
So generally stuff in this maths/numerical space. The term is a bit deceptive because it rarely means domain-specific science libraries like rust-bio even thought that might be what you think when you hear "scientific computing".
What are some alternatives?
dash - Data Apps & Dashboards for Python. No JavaScript Required.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
kanidm - Kanidm: A simple, secure and fast identity management platform
clblast-rs - clblast bindings for rust
autograph - Machine Learning Library for Rust
are-we-learning-yet - How ready is Rust for Machine Learning?
clickhouse-rs - Asynchronous ClickHouse client library for Rust programming language.
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
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
tonic - A native gRPC client & server implementation with async/await support.
tractjs - Run ONNX and TensorFlow inference in the browser.
conan-center-index - Recipes for the ConanCenter repository