Based on our record, TensorFlow should be more popular than DevExtreme. It has been mentiond 7 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.
I was going to exclusively use DevExtreme for the entire UI, but I really, really like Tailwind CSS, so I think I'm going to use DevExtreme for the tables, filtering, and charting, and for the rest I think I might use something like Flowbite. Source: 12 months ago
DevExtreme components for powerful datagrids and filtering. Source: over 1 year ago
I'm using DevExtreme in one of my project, which is a suite of components that's relatively cheap for what's included but powerful. The only downside is it's a general purpose library of components, so it doesn't always feel "Angular native". Other than that the included data grid can render custom content using a master-detail view. There's also a "tree list" component included if you need to visualize actual... Source: over 1 year ago
Take a commercial framework which offers a lot of components and good support (like DevExpress DevExtreme for example) and build an SPA application with some sort of a REST backend. Source: over 1 year ago
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
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
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
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
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
Material UI - A CSS Framework and a Set of React Components that Implement Google's Material Design
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Ionicons - Ionicons offers fonts for Ionic Framework.
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.