playground
LunarVim
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playground | LunarVim | |
---|---|---|
16 | 272 | |
11,602 | 17,312 | |
1.0% | 2.5% | |
0.0 | 7.6 | |
2 months ago | 10 days ago | |
TypeScript | Lua | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
playground
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Why do tree-based models still outperform deep learning on tabular data? (2022)
Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good.
For example, take the circle dataset here: https://playground.tensorflow.org
That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by radius would do the trick. Now try doing that in 1000 dimensions. Sometimes you can, sometimes you can't or do want to bother.
- Visualization of Common Algorithms
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Stanford A.I. Courses
Thereโs an interactive neural network you can train here, which can give some intuition on wider vs larger networks:
https://mlu-explain.github.io/neural-networks/
See also here:
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Where have all the hackers gone?
I don't think so. You can easily play around in the browser, using Javascript, or on https://processing.org/, https://playground.tensorflow.org/, https://scratch.mit.edu/, etc.
If anything the problem is that today's kids have too many options. And sure, some are commercial.
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Tech pioneers call for six-month pause of "out-of-control" AI development
You can actually play with training a very simple model in your web browser here to get an idea of how that works. The important part though is that training is kind of a trial and error adjustment process.
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[D] Tools for drawing/visualising Neural Networks that are pretty?
This is pretty cool: https://playground.tensorflow.org/
LunarVim
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Every Neovim, Every Config, All At Once
LunarVim
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Tools to achieve a 10x developer workflow on Windows
I would suggest to start getting into vim by first trying out popular vim keybinding plugins available on your favorite code editor and get used to those first. Then, if you want to dive deeper into the power of Neovim, try out popular configs like LazyVim, LunarVim, NvChad... Taking Neovim from a mere text editor to a full-featured IDE with features like intellisense, debugging, testing, etc... on your own takes quite a lot of work and configuration.
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Helix 23.10 Highlights
I used Helix for a while due to its support for LSP out-of-the-box, which my Vim config at the time couldn't live up to. I switched back to NeoVim after finding LunarVim[1] which had everything I was trying to get setup in my own config.
- How to Transform Vim to a Complete IDE?
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Mastering Emacs
I'll admit I didn't look into it, but Helix sounds like something like LunarVim (https://www.lunarvim.org/)
Personally I much prefer that the editor NOT ship with something like that by default, especially when it's so easy to set up. I have several different vim config I use, including a pretty bare-bones one for headless systems, and I much prefer the ability to customize something very specifically.
Build tools that can compose together, rather than a single do-it-all tool. That is the power of the low level editors vs IDE's.
- No inline errors in Python unless I add and delete a line
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LazyVim
I can't comment on any implementation details, but at least with LunarVim (which I use for daily coding), a slowdown when interacting with LSP is very noticeable. Some others have attested to this on a GitHub issue.
I'm not doubting your experiences with the lack of a slowdown, but there is truth that others do experience it. That might be more of a problem with LunarVim itself rather than Vim, but how likely am I (as someone who would like to avoid what he calls "config hell") or other newcomers to avoid whatever pitfalls there are, if a distribution designed for ease of use by people who know better fall into them?
- Should Neovim now release a standard official configuration so that people who want an editor that just works out of the box get onboarded easily ?
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neovim config
Anyways, although i have not used them, LazyVim and LunarVim comes highly recommended. You can try these and see what suits you .
What are some alternatives?
AstroNvim - AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins
SpaceVim - A community-driven modular vim/neovim distribution - The ultimate vimrc
NvChad - An attempt to make neovim cli as functional as an IDE while being very beautiful , blazing fast. [Moved to: https://github.com/NvChad/NvChad]
NvChad - Blazing fast Neovim config providing solid defaults and a beautiful UI, enhancing your neovim experience.
Neovim-from-scratch - ๐ A Neovim config designed from scratch to be understandable
LazyVim - Neovim config for the lazy
vscode-neovim - Vim mode for VSCode, powered by Neovim
coc.nvim - Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.
flutter-tools.nvim - Tools to help create flutter apps in neovim using the native lsp
nvim-dap - Debug Adapter Protocol client implementation for Neovim
rust-tools.nvim - Tools for better development in rust using neovim's builtin lsp
neovim - Vim-fork focused on extensibility and usability