Customgform allows you to customize Google Form UI and embed to the website in minutes. Use all the power Google Form out-of-the-box, like email notifications, export to the spreadsheet... and customgform layer to make Google Form looks great and performant.
To save time on building website forms, follow 3 easy steps:
Supported platforms: WordPress, React, Shopify, and any platforms that support HTML code.
Customize UI for Google Forms's answer
Anyone who has a website.
Customize UI for Google Forms's answer
Customgform allows customized UI for Google Forms and stands out with its user-friendly interface, extensive customization options, real-time preview, responsive design, and strong support.
It use all the power of Google form under the hood and add a tiny customization layer, built on top of preact, to show your form instantly.
Customize UI for Google Forms's answer
It allows to customize Google Forms, embed to the website in minutes and start collecting responses. So you save a ton of time.
Customize UI for Google Forms's answer
We use preact, tailwind, css variables and Cloudflare to store data. It helps to achieve instant performance.
Customize UI for Google Forms's answer
I looked for a tool that allowed me to add a form to the website in minutes. Then I combined the power of Google Forms and UI customization tool, which helps to achieve a branded look & feel.
Based on our record, Keras seems to be more popular. 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.
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 / 8 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 / about 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 / 2 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 / 12 months 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
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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.
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PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.