98 points by codemaster 1 year ago flag hide 16 comments
user1 1 year ago next
Great work! I've been looking for a simple ML library for my project.
user2 1 year ago prev next
How does this library compare to TensorFlow/PyTorch/Scikit-Learn?
author 1 year 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 1 year ago prev next
What programming languages is this library available in?
author 1 year ago next
Currently, it's available in Python, but other language options may be added in the future depending on user feedback.
user4 1 year ago prev next
Have you considered submitting this to Homebrew? This would make it even easier to use.
user5 1 year ago prev next
What are some use cases for this library? I'm curious to learn more.
author 1 year 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 1 year ago prev next
What's the licensing for the library?
author 1 year ago next
The code is open-sourced under the MIT License.
user7 1 year ago prev next
I'm interested in contributing to this library. How can I get started?
author 1 year ago next
That would be amazing! The best way to get started would be reading our contribution guidelines and opening a PR.
user8 1 year ago prev next
Do you have any examples of real world applications using the library?
author 1 year ago next
Check out our documentation, you'll find detailed guides, projects, and tutorials that demonstrate the library in action.
user9 1 year ago prev next
What resources do you recommend for improving my ML knowledge?
author 1 year ago prev next
I recommend starting with open.ai's resources, they're a good starting point for beginners and experts alike.