neuronika
nushell
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neuronika | nushell | |
---|---|---|
19 | 212 | |
1,033 | 29,772 | |
1.3% | 2.2% | |
0.0 | 9.9 | |
over 1 year ago | 7 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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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.
nushell
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NuShell - Ceci n'est pas une |
These are just three small examples of what this shell written in Rust allows. The features are many and many more, but I'll leave it up to you to discover and enjoy them; I'm currently playing around with it and it's giving me a lot of satisfaction and immediacy, now it has a fixed place among the tools I use when working! The project is Open Source, so if you want to contribute, I invite you, as always, to do so, I leave you the link to the repo here!
- Xonsh: Python-powered, cross-platform, Unix-gazing shell
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Fish shell 3.7.0: last release branch before the full Rust rewrite
Any thoughts on fish as compared to nushell [0]? It's similar to PowerShell in its philosophy and is also written in Rust.
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jc: Converts the output of popular command-line tools to JSON
> In PowerShell, structured output is the default and it seems to work very well.
PowerShell goes a step beyond JSON, by supporting actual mutable objects. So instead of just passing through structured data, you effectively pass around opaque objects that allow you to go back to earlier pipeline stages, and invoke methods, if I understand correctly: https://learn.microsoft.com/en-us/powershell/module/microsof....
I'm rather fond of wrappers like jc and libxo, and experimental shells like https://www.nushell.sh/. These still focus on passing data, not objects with executable methods. On some level, I find this comfortable: Structured data still feels pretty Unix-like, if that makes sense? If I want actual objects, then it's probably time to fire up Python or Ruby.
Knowing when to switch from a shell script to a full-fledged programming language is important, even if your shell is basically awesome and has good programming features.
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Ripgrep is faster than {grep, ag, Git grep, ucg, pt, sift}
Maybe if the "popular" shells, but http://www.nushell.sh/ is looking better and better
- "<ESC>[31M"? ANSI Terminal security in 2023 and finding 10 CVEs
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jq 1.7 Released
Yeah agreed, especially now that PowerShell is available cross-platform.
Nushell[1] also seems like a promising alternative, but I haven’t had a chance to play with it yet.
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The Case for Nushell
I also discovered an existing discussion[1] related to this topic which includes a link[2] to a "helper to call nushell nuon/json/yaml commands from bash/fish/zsh" and a comment[3] that the current nushell dev focus is "on getting the experience inside nushell right and [we] probably won't be able to dedicate design time to get the interface of native Nu commands with an outside POSIX shell right and stable.".
[0] https://gitlab.com/RancidBacon/notes_public/-/blob/main/note...
[1] "Expose some commands to external world #6554": https://github.com/nushell/nushell/issues/6554
[2] https://github.com/cruel-intentions/devshell-files/blob/mast...
[3] https://github.com/nushell/nushell/issues/6554#issuecomment-...
I appreciate what projects like Nushell and Murex are trying to address, but having a saner scripting language and passing structured data in pipelines is not worth the drawbacks for me.
For one, Bash scripting is not so bad if you set some sane defaults and use ShellCheck. Sure, it has its quirks, but all languages do. Even so, the same golden rule applies: use a "real" programming language if your problem exceeds a certain level of complexity. This is relative and will depend on your discomfort threshold, but using the right tool for the job is always a good practice. No matter how good the shell language is, I would hesitate to write and maintain a complex project in it.
And for general QoL improvements with interactive use, Zsh is a fine shell, while still being POSIX compatible.
[1]: https://github.com/nushell/nushell/blob/main/crates/nu-comma...
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Simple PowerShell things allowing you to dig a bit deeper than usual
I found nushell (https://www.nushell.sh) to be an impressive replacement "bash" for Windows
In terms of philosophy, think "Powershell but actually intuitive" : Every data is structured but command names are what you expect them to be. I usually don't even need to look at the documentation.
I liked it so much that I also replaced my shell on Linux with it, so I have the same terminal experience across all OSes
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
fish-shell - The user-friendly command line shell.
clblast-rs - clblast bindings for rust
elvish - Powerful scripting language & Versatile interactive shell
autograph - Machine Learning Library for Rust
starship - ☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
are-we-learning-yet - How ready is Rust for Machine Learning?
PowerShell - PowerShell for every system!
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
alacritty - A cross-platform, OpenGL terminal emulator.
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
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.