neuronika
cargo-xtask
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neuronika | cargo-xtask | |
---|---|---|
19 | 26 | |
1,033 | 732 | |
1.3% | - | |
0.0 | 3.0 | |
over 1 year ago | 10 months ago | |
Rust | ||
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.
cargo-xtask
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🏃♂️ Use task.go for your Go project scripts
💡 Inspired by matklad/cargo-xtask and based on 🏃♂️ Write your Rust project scripts in task.rs from the Rust ecosystem.
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clap_completion help requested
Using a cargo-xtask task to generate them as a manual step (inlyne currently does this)
- Cargo xtask: extend cargo with custom commands written in Rust
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Including a cargo command as a dev dependency
As someone else said just is good for that job, or you could implement an xtask helper for these things and setup a suitable development environment with that: https://github.com/matklad/cargo-xtask/
- Cargo xtask: extend stock, stable cargo with custom commands written in Rust
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Going beyond build.rs: introducing cargo-px
Well tools like cornucopia, prisma-rust-client, protoc-gen-tonic, they don't generate in build.rs, but instead provide either a cli to be called ahead of time, or provide a library that can be called by your own binary (which should generally follow the xtask pattern)
- Hey Rustaceans! Got a question? Ask here (17/2023)!
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Best way to include a utility command for my crate?
If I understand, this is a tool for when working on the project itself? Akin to a helper script? You could go the cargo install route as already pointed out but there is also the xtask convention.
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We have getrandom at home
For simple cli apps for internal use, such as cargo-xtasks, I prefer pico_args due to its fast compile times.
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Rust for Web Development | An Honest Evaluation
For developer-oriented stuff, there's tools like xshell and cargo-xtask. For operator tasks that need to run in a deployed environment, it's not usually a big lift to add CLI subcommands to your binary. It's certainly more boilerplate and inertia than doing stuff in a live REPL, though, and sometimes difficult to recommend for truly one-off situations.
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
just - 🤖 Just a command runner
clblast-rs - clblast bindings for rust
cargo-make - Rust task runner and build tool.
autograph - Machine Learning Library for Rust
bors-ng - 👁 A merge bot for GitHub Pull Requests
are-we-learning-yet - How ready is Rust for Machine Learning?
rust - Empowering everyone to build reliable and efficient software.
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
waihona - Rust crate for performing cloud storage CRUD actions across major cloud providers e.g aws
tractjs - Run ONNX and TensorFlow inference in the browser.
fzf - :cherry_blossom: A command-line fuzzy finder