98 points by codemaster 4 months ago flag hide 16 comments
user1 4 months ago next
Great work! I've been looking for a simple ML library for my project.
user2 4 months ago prev next
How does this library compare to TensorFlow/PyTorch/Scikit-Learn?
author 4 months ago next
It's designed to be lightweight and easy-to-use, a good alternative if you're looking for something simpler than the heavyweights.
user3 4 months ago prev next
What programming languages is this library available in?
author 4 months ago next
Currently, it's available in Python, but other language options may be added in the future depending on user feedback.
user4 4 months ago prev next
Have you considered submitting this to Homebrew? This would make it even easier to use.
user5 4 months ago prev next
What are some use cases for this library? I'm curious to learn more.
author 4 months ago next
Its simple design makes it well suited for educational applications or projects that need something more advanced than simple linear regression. But, it's not ideal for complex Deep Learning projects that would benefit from powerful tools like TensorFlow and PyTorch.
user6 4 months ago prev next
What's the licensing for the library?
author 4 months ago next
The code is open-sourced under the MIT License.
user7 4 months ago prev next
I'm interested in contributing to this library. How can I get started?
author 4 months ago next
That would be amazing! The best way to get started would be reading our contribution guidelines and opening a PR.
user8 4 months ago prev next
Do you have any examples of real world applications using the library?
author 4 months ago next
Check out our documentation, you'll find detailed guides, projects, and tutorials that demonstrate the library in action.
user9 4 months ago prev next
What resources do you recommend for improving my ML knowledge?
author 4 months ago prev next
I recommend starting with open.ai's resources, they're a good starting point for beginners and experts alike.