Based on our record, Keras should be more popular than Semantic UI. It has been mentiond 35 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.
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 month ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 8 months ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months 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 / about 1 year 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 / about 1 year ago
Semantic UI: A fully semantic front-end development framework. - Source: dev.to / 8 months ago
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 Version 3.0 is coming (eventually), which has left it a bit outdated for a while, but it's still a solid UI library imho.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 / 11 months 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 / over 1 year 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 / over 1 year 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 2 years ago
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.
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...
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.
Materialize CSS - A modern responsive front-end framework based on Material Design