Material UI VS TensorFlow

Material UI

A CSS Framework and a Set of React Components that Implement Google's Material Design

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.

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2023-07-24

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2023-06-19

Getting Started With Material-UI For React (Material Design for React)

TensorFlow videos

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What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

Category Popularity

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Data Science And Machine Learning

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Developer Tools

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User comments

Share your experience with using Material UI and TensorFlow. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Material UI and TensorFlow

Material UI Reviews

15 Top Bootstrap Alternatives For Frontend Developers in 2024

One of the highlighting features of this framework like Bootstrap is that it is based on Google's Material Design, offering a variety of reusable components that can be incorporated as needed. A major drawback of Material UI is its limitation to only React-based components. Additionally, it uses CSS-in-JS (a technique of writing CSS styling in JavaScript), which may not be...

Source: coursesity.com

React UI Components Libraries: Our Top Picks for 2023

Material-UI (MUI) is a fully loaded UI component library that offers a comprehensive set of UI tools to create and deploy new features at speed. It is one of the most powerful and popular UI component libraries out there with over 3.2 million downloads on npm a week, 78k stars on GitHub, 17k+ followers on Twitter, and 2.4k+ open-source contributors.

Source: kinsta.com

Top React component libraries (2021 edition)

For support, there’s plenty of free options like the Material-UI community, Stack Overflow, and GitHub. Material points technical questions to Stack Overflow, where more than 12.5k questions have been posted. GitHub is used exclusively as a bugs and feature requests tracker. On the paid side, Material-UI suggests purchasing a Tidelift subscription which offers “flexibility...

Source: retool.com

Comparing popular React component libraries

Unlike Ant Design, Material-UI offers built-in methods to style components. makeStyles() is useful, especially when your code starts to get big; it helps you find the element to style more quickly and makes the code more readable. The downside is that readability may degrade as a component grows. But overall, Material-UI is a strong, highly customizable library.

Source: blog.logrocket.com

6 Best ReactJS based UI Frameworks

MaterialUI is a set of React Components that Implement the Google’s Material Design Guidelines. When it comes to predefined components especially UI, one important thing we need to find is how many UI widgets are available and whether these can be customized with configurations. Material-UI has all components that you need and it is very configurable with predefined color...

Source: medium.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024

From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.

Source: www.labellerr.com

10 Python Libraries for Computer Vision

TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.

Source: clouddevs.com

25 Python Frameworks to Master

Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.

Source: kinsta.com

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing

TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...

Source: www.uubyte.com

PyTorch vs TensorFlow in 2022

There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, Material UI seems to be a lot more popular than TensorFlow. While we know about 75 links to Material UI, we've tracked only 7 mentions of TensorFlow. 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.

Material UI mentions (75)

Building Forms with zod and react-hook-form
Material UI: Component library to style our form input fields. - Source: dev.to / about 1 year ago
Getting started with NextUI and Next.js
These UI components and elements usually include Button, Navbar, Tooltip, Tab components, and more. Many UI libraries exist, including React Bootstrap, built on the popular Bootstrap CSS library, and Material-UI, one of the most popular UI component libraries for React. - Source: dev.to / over 1 year ago
Comparing React Component Libraries
Material UI, the undisputed heavyweight champion on this list, was created according to Google’s Material Design guidelines. Launched in 2014, it currently has 71K stars, 23.9K forks, 2284 contributors, and 687K users on GitHub, indicating lots of active maintainers and a vibrant community. A large community also means that bugs are fixed faster. - Source: dev.to / almost 2 years ago
How to overwrite Material UI tooltip inline styles?
I am currently developing a React component that leverages the Material UI Tooltip component. Within my component, I need to manually re-position the Mui Tooltip via the root popper element (MuiTooltip-popper). Source: about 2 years ago
Get value of MenuItem material ui
I'm using Material UI for Menu and Menu Item.I'm trying to get the value of a menu item, but it doesn't work. Source: about 2 years ago

TensorFlow mentions (7)

Creating Image Frames from Videos for Deep Learning Models
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
Need help with a Tensorflow function
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
Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
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
[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
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

What are some alternatives?

When comparing Material UI and TensorFlow, you can also consider the following products

Ant Design - An enterprise-class UI design language and React implementation with a set of high-quality React components, one of best React UI library for enterprises

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Chakra UI - Simple, modular and accessible UI components for your React applications.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Material UI vs Ant Design

Material UI vs PyTorch

Material UI vs Bootstrap

Material UI vs Keras

Material UI vs Chakra UI

Material UI vs Scikit-learn

TensorFlow vs Ant Design