UIKit is recommended for developers who need a flexible and modular framework for building user interfaces, especially those who prefer a clean design system and extensive component library. It is suitable for beginners due to its comprehensible documentation and also for experienced developers looking to streamline their workflow with a reliable front-end framework.
Scikit-learn might be a bit more popular than UIKit. We know about 31 links to it since March 2021 and only 22 links to UIKit. 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.
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / over 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
UIkit: A lightweight and modular front-end framework. - Source: dev.to / 8 months ago
Franken UI is compatible with UIkit 3 and can work as a standalone CSS framework but can be integrated with Tailwind CSS for faster styling and customization. The design of Franken UI is influenced by shadcn/ui. It aims to provide a solution to developers who are not comfortable using React, Vue, or Svelte by leveraging UIkit for JavaScript and accessibility. - Source: dev.to / 11 months ago
As an iOS engineer, you've likely encountered SwiftUI and UIkit, two popular tools for building iOS user interfaces. SwiftUI is the new cool kid on the block, providing a clean way to build iOS screens, while UIkit is the older and more traditional way to build screens for iOS. SwiftUI uses a declarative style where you describe how the UI should look, similar to Jetpack Compose in Android. UIkit, on the other... - Source: dev.to / over 1 year ago
All that's left is adding a little style. I won't claim to be a frontend engineer or a UI designer, so I just used UIKit to easily add modern-looking style to the HTML table and buttons. As mentioned throughout the article, the CSS classes and other small details are excluded since they are not directly relevant to the tutorial. See the full example on GitHub to try running it for yourself. - Source: dev.to / over 1 year ago
Can try UIKIT out if you're looking around, I've used it solely for some quick slider stuff in certain projects and use it fully in others. The docs are pretty good and they have a discord community that's fairly active. Source: almost 2 years ago
OpenCV - OpenCV is the world's biggest computer vision library
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
NumPy - NumPy is the fundamental package for scientific computing with Python
Materialize CSS - A modern responsive front-end framework based on Material Design