Based on our record, Keras should be more popular than Semantic UI. It has been mentiond 32 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 Version 3.0 is coming (eventually), which has left it a bit outdated for a while, but it's still a solid UI library imho.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 / 4 days 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 / 8 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
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 26 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 3 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Materialize CSS - A modern responsive front-end framework based on Material Design
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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.