playground
github-nvim-theme
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playground | github-nvim-theme | |
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16 | 28 | |
11,674 | 1,960 | |
1.1% | 3.2% | |
0.0 | 7.9 | |
3 months ago | 15 days ago | |
TypeScript | Lua | |
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.
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.
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Introduction to TensorFlow for Deep Learning
For visualisation and some fun: http://playground.tensorflow.org/
- TensorFlow Playground – Tinker with a NN in the Browser
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Visualization of Common Algorithms
https://seeing-theory.brown.edu/
https://www.3blue1brown.com/
https://playground.tensorflow.org/
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Stanford A.I. Courses
There’s 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:
http://playground.tensorflow.org/
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Let's revolutionize the CPU together!
This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in.
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Curious about Inputs for neural network
I don’t know much experimenting you’ve done, but many repeated small scale experiments might give you a better intuition at least. I highly recommend this online tool for playing with different environmental variables, even if you’re comfortable coding up your own experiments: http://playground.tensorflow.org
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Intel Announces Aurora genAI, Generative AI Model With 1 Trillion Parameters
Even if you can’t code, play around with this tool: https://playground.tensorflow.org — you can adjust the shape of the NN and watch how well it classifies the data. Model size obviously matters.
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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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[Discussion] Questions about linear regression, polynomial features and multilayer NN.
Well there is no point of using a multilayer linear neural network, because a cascade of linear transformations can be reduced to a single linear transformation. So you can only approximate linear functions. However if you have prior knowledge about the non linearity of your data lets say you know that it is a linear combination of polynomials up to certain degree, you can expand your input space by explicitly making non linear transformation. For instance a 1D linear regression can be modeled by 2 input neurons and 1 output neuron where the activation of the output is the identity. The input neuron x0 will take a constant input namely 1 and the second input neuron x1 will takes your data x. The output neuron will be y=w_0 * 1+w_1 *x which is equal to y=w_0 +w_1 * x. Let us say that your data follows a polynomial form, the idea is to add input neurons and expand your input to for instance X=[1 x x2] in this case you have 3 input neurons where the third is an explict non linear form of the input so y=w_0 + w_1 x +w_2 x2. The general idea is to find a space where the problem becomes linear. In real life example these spaces are non trivial the power of neural network is that they can find by optimization such space without explicitly encoding these non linearities. Try playing around with https://playground.tensorflow.org/ you can get an intuition about your question.
github-nvim-theme
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What color scheme do you use?
The only light themes I've been able to find with sufficient readability contrast (for me) that are more colorful than that are the light high-contrast version of github-nvim-theme, and Tempus Totus from tempus-themes. I'm sure there exist others, though.
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Github Themes for Neovim v1.0.0
Repo: https://github.com/projekt0n/github-nvim-theme
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Suggestion for neovim color scheme.
github
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Do you know any themes that have dark grey background ?
github-nvim-theme.
- What's the difference between setting key-mappings in a plugin's config spec vs a keymaps.lua file?
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[noob] finish config for the first time 😀
And github-nvim-theme https://github.com/projekt0n/github-nvim-theme(light mode with no icons)
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Join the Discussion: Major Refactor and Neovim 0.9 Upgrade for github-nvim-theme
I'm the creator of the github-nvim-theme and I've been experiencing some bugs and limitations with the codebase. Because of this, I haven't been able to push any new features in the past few months. However, I am planning to reorganize the code to be compatible with the upcoming Neovim version 0.9, which is expected to be released in late January or early February 2023 according to the latest release announcement on reddit.
- Syntax highlighting
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Can you configure indentation for language server snippets to match your vim indentation?
https://github.com/projekt0n/github-nvim-theme . Yesterday I switch to a new window where there’s plenty of light but my laptop screen it’s pretty reflective. That’s why I switched. I wanted a single theme that has both solid light and dark themes to be able to switch.
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Any theme recommend for red-green color weakness people?
https://github.com/projekt0n/github-nvim-theme is one for nvim. I'm sure there are others.
What are some alternatives?
clip-interrogator - Image to prompt with BLIP and CLIP
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]
dspy - DSPy: The framework for programming—not prompting—foundation models
telescope.nvim - Find, Filter, Preview, Pick. All lua, all the time.
nvim-treesitter - Nvim Treesitter configurations and abstraction layer
tokyonight.nvim - 🏙 A clean, dark Neovim theme written in Lua, with support for lsp, treesitter and lots of plugins. Includes additional themes for Kitty, Alacritty, iTerm and Fish.
pyllama - LLaMA: Open and Efficient Foundation Language Models
no-clown-fiesta.nvim - A dark gray colorscheme
lake.nvim - A simplified ocean color scheme with treesitter support
vim-nightfly-colors - A dark midnight theme for modern Neovim & classic Vim
developer - the first library to let you embed a developer agent in your own app!
vscode.nvim - Neovim/Vim color scheme inspired by Dark+ and Light+ theme in Visual Studio Code