playground
tree-sitter-scala
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playground | tree-sitter-scala | |
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16 | 3 | |
11,662 | 150 | |
1.0% | 2.0% | |
0.0 | 8.6 | |
3 months ago | 23 days ago | |
TypeScript | JavaScript | |
Apache License 2.0 | MIT License |
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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
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:
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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/
tree-sitter-scala
- Scala community now has control over the official Scala grammar for tree-sitter 🎉
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Tree Sitter support
At this point more than plugin development is completing the tree-sitter-scala grammar. A way to test what is missing is to use the nvim-treesitter/playground. After installing the grammar via nvim-treesitter, you can then just use the playground to see the full representation of your Scala code.
I'm so happy to see someone else post about this. In short, yes I've played around with it a bit and even started creating the highlight queries in order for it to work via nvim-treesitter. However, very quickly you hit on the grammar simply being incomplete. I recently made a few additions to the grammar with the hopes of wanting to complete it, but it's no small task. There are a fair amount of things that are still needed to complete it. Without those things, the syntax highlight doesn't look great and it becomes noticeable right away.
What are some alternatives?
nvim-treesitter - Nvim Treesitter configurations and abstraction layer
nvim-metals - A Metals plugin for Neovim
playground - Treesitter playground integrated into Neovim
clip-interrogator - Image to prompt with BLIP and CLIP
dspy - DSPy: The framework for programming—not prompting—foundation models
nvim-lua-guide - A guide to using Lua in Neovim
pyllama - LLaMA: Open and Efficient Foundation Language Models
lake.nvim - A simplified ocean color scheme with treesitter support
developer - the first library to let you embed a developer agent in your own app!
machine-learning-specialization-andrew-ng - A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.