neuronika
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neuronika | crates.io | |
---|---|---|
19 | 660 | |
1,033 | 2,796 | |
1.3% | 1.9% | |
0.0 | 10.0 | |
over 1 year ago | about 7 hours ago | |
Rust | Rust | |
Apache License 2.0 | 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.
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.
crates.io
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Migrating a JavaScript frontend to Leptos, a Rust framework
So, be sure to double-check your critical libraries and be sure their alternatives exist in the Rust ecosystem. Thereβs a good chance the crates you need are available in Rust's crates.io repository.
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Learning Rust: A clean start
The previous section was very simple, this section is also very simple but introduces us to cargo which is Rust's package manager, as a JS dev my mind goes straight to NPM.
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#2 Rust - Cargo Package Manager
Now, there has to be a place where all these packages come from. Similar to npmjs registry, where all node packages are registered, stored and retrieved, Rust also has something called crates.io where many helpful packages and dependencies are registered.
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Rust π¦ Installation + Hello World
Before proceeding, let's check https://crates.io/, the official Rust package registry.
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Underestimating rust for my Project.
The most thrilling aspect has been the joy of writing the backend. It's like every struct, enum, and method in Rust forms this interconnected Multiverse of code , which you can see in crates.io which is best Documentation experience I Ever Had.
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Top 10 Rusty Repositories for you to start your Open Source Journey
5. Crates.io
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Project Structure Clarification Coming From Python - With Example
When using crates from eg. crates.io, and also things like std and core
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Cargo has never frustrated me like npm or pip has. Does Cargo ever get frustrating? Does anyone ever find themselves in dependency hell?
Vendoring your packages was very tedious to even remotely get to work with Cargo. I spent a very long time getting Cargo to work together with cargo-local-registry. We vendor crates from crates.io and a custom internal registry.
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How did I need to know about feature rwh_05 for winit?
So this is my question: Which way was the right to find it out? There is no info about this feature on crates.io. I also have no clue what exactly it does and why it is named rwh_05.
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15,000 Go Module Repositories on GitHub Vulnerable to Repojacking Attack
Rust does it so much better with https://crates.io . I don't know why Go can't (or won't) do something similar.
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
docs.rs - crates.io documentation generator
clblast-rs - clblast bindings for rust
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely π¦ ππ
autograph - Machine Learning Library for Rust
Cargo - The Rust package manager
are-we-learning-yet - How ready is Rust for Machine Learning?
trunk - Build, bundle & ship your Rust WASM application to the web.
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
gtk4-rs - Rust bindings of GTK 4
tractjs - Run ONNX and TensorFlow inference in the browser.
Rocket - A web framework for Rust.