dot
Configuration files and automation wizard for Arch Linux meta distribution (by oniani)
ai
From-scratch impls of AI models, approaches, tricks, and more! (by oniani)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
dot
Posts with mentions or reviews of dot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
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Implementing Machine Learning Models From Scratch (stylepoint)
Hey thanks! I think this is the repo you are looking for: https://github.com/oniani/dot (:
ai
Posts with mentions or reviews of ai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
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Made the YouTube Series Implementing ML Models Using NumPy
GitHub (for model impls and other series): https://github.com/oniani/ai
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[D] What advanced models would you like to see implemented from scratch?
All of the videos are and will be available on my YouTube channel. Implementations are and will be in this GitHub repo.
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[N] I Have Released the YouTube Series Discussing and Implementing Activation Functions
GitHub: https://github.com/oniani/ai
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Implementing Logistic Regression from Scratch
Link to the YouTube video: https://www.youtube.com/watch?v=YDa3rX9yLCE Link to the repo containing the code: https://github.com/oniani/ai
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[N] AI/ML Model API Design, Numerical Stability, and More Models from Scratch! (stylepoint)
Repository for the AI/ML series - oniani/ai.
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Implementing Machine Learning Models From Scratch (stylepoint)
Thanks! One thing to note about that implementation is that we could have passed features and labels directly to the fit method. This would avoid unnecessary data copying (i.e., storing data inside the LinearRegression class). I have already updated the GitHub codebase.
What are some alternatives?
When comparing dot and ai you can also consider the following projects:
dotfiles - Configuration files for LEV Linux
dotfiles - 🔧 My dotfiles on  macOS for Neovim, Zsh, kitty, lf, etc
dotfiles - Blugil's dotfiles