neuronika
book
neuronika | book | |
---|---|---|
19 | 626 | |
1,033 | 14,290 | |
1.3% | 1.4% | |
0.0 | 8.7 | |
over 1 year ago | 7 days ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
book
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Learning Rust: A clean start
My first port of call was to google learn rust which lead me to "the book". The book is a first steps guide written by the rust community for newbies (or Rustlings as they're called) to gain a 'solid grasp of the language'.
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Prodzilla: From Zero to Prod with Rust and Shuttle
Before Prodzilla, I’d read 'The Book' a couple of times, and had made my way through Rustlings, but hadn’t yet built a serious project in Rust.
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Help me stop hating rust
To answer your last question;
Start with the Rust book.
https://doc.rust-lang.org/book/
Then do Rustlings until the syntax becomes muscle memory.
Then join the Discord and start doing little projects.
You won’t get up to the proficiency of other languages as quickly in Rust. It takes longer. For me it’s taking a lot longer, but I enjoy it.
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Top 10 Rusty Repositories for you to start your Open Source Journey
Before diving into these repositories, familiarize yourself with Rust and its development ecosystem. The official Rust book is an excellent resource for developers at all levels. Each repository has documentation on how to contribute, covering code style, issue tracking, and pull requests.
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Command Line Rust is a great book
This is my third Rust book after the official book and Rust in Action. The other two books are great, but they were too theoretical for me. I'm a slow learner and had much trouble grokking Rust's features and idiosyncrasies. When I was done with these books, I was lost and unsure of what I could do.
- Advice Sought: Double down on Solidity dev or switch to Product?
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Nim
It's the same reason everything digital and downloadable isn't free: there's a cost to create it and there's a value to it.
For a language developer to charge for a book about that language, I think that's a completely valid way to make some money off of their work.
Even the Rust book, "The Rust Programming Language" is available freely online [0], but also as a print and ebook for sale via NoStarchPress [1].
[0] https://doc.rust-lang.org/book/
[1] https://nostarch.com/rust-programming-language-2nd-edition
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Systems programming - Rust
You know you can just read it online right now in 2 different variants It does contain some systems programming.
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Ask HN: How do you learn Rust in 2023?
I am looking at The Book (https://doc.rust-lang.org/book/), but hoped there was an amazing person on youtube.
Yeah, I'll build something, finally trying webassembly.
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Give me the best Resources to learn Rust
https://doc.rust-lang.org/book/ https://github.com/rust-lang/rustlings https://doc.rust-lang.org/rust-by-example/
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
rust-by-example - Learn Rust with examples (Live code editor included)
clblast-rs - clblast bindings for rust
Rustlings - :crab: Small exercises to get you used to reading and writing Rust code!
autograph - Machine Learning Library for Rust
solana-program-library - A collection of Solana programs maintained by Solana Labs
are-we-learning-yet - How ready is Rust for Machine Learning?
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
github-cheat-sheet - A list of cool features of Git and GitHub.
tractjs - Run ONNX and TensorFlow inference in the browser.
rust - Empowering everyone to build reliable and efficient software.