Based on our record, Semantic UI should be more popular than TensorFlow. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Semantic UI[1] was one I used to use, both the plain CSS one as well as the React version of the library. Version 3.0 is coming (eventually), which has left it a bit outdated for a while, but it's still a solid UI library imho. I have been switching away to Tailwind. [1]: https://semantic-ui.com/. - Source: Hacker News / 1 day ago
What stack are you using? I personally recommend utilizing readily available components: https://ui.shadcn.com/ https://mui.com/ https://semantic-ui.com/ etc.. - Source: Hacker News / 7 months ago
Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / 8 months ago
Honestly you should build a webpage and use a UI library if you want markdown with some extra pop. Check out semantic ui. Source: over 1 year ago
A lot of proof-of-concept and MVP projects start out with a number of libraries meant to be temporary. Maybe the app was using Chakra UI for its modal and custom buttons, while the rest of the imported library is just dead weight. Perhaps developers have been spending more time adjusting Semantic UI’s styling to match the designs than it’s worth. - Source: dev.to / over 1 year ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Materialize CSS - A modern responsive front-end framework based on Material Design
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
UIKit - A lightweight and modular front-end framework for developing fast and powerful web interfaces
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.