I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Keras. While we know about 894 links to Tailwind CSS, we've tracked only 32 mentions of Keras. 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 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 / 24 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
TailwindCSS is a utility-first CSS framework that allows you to build modern websites without leaving your HTML. - Source: dev.to / about 20 hours ago
VIM-ing into the header.tsx, I write some html and some css with tailwindcss. I also added my new header component to the layouts.tsx file also. - Source: dev.to / 5 days ago
Beyond frameworks, the front-end arsenal boasts other powerful tools. Bootstrap [https://getbootstrap.com/], a giant in the design world, provides pre-designed components that save developers time and effort. On the other hand, Tailwind CSS [Tailwind CSS - Utility-first CSS framework for rapid UI development | https://tailwindcss.com/] offers a utility-first approach, allowing developers to build custom user... - Source: dev.to / 3 days ago
Utility-First frameworks, such as Tailwind CSS, provide a vast set of utility classes that can be composed directly in the HTML. This minimizes the need for custom CSS and complex selectors. - Source: dev.to / 10 days ago
I prepared a list of open-source checkbox components coded with Tailwind CSS and Material Tailwind. - Source: dev.to / 8 days 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...
Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
React - A JavaScript library for building user interfaces