Babel might be a bit more popular than PyTorch. We know about 134 links to it since March 2021 and only 106 links to PyTorch. 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.
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 10 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 1 month ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 2 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months ago
Some of the most popular JavaScript linting tools are ESLint, JSHint, JSLint and JSCS. We're going to be using ESLint. It’s very flexible, easy to use and has the best ES6 support, which will be helpful if we introduce more modern JavaScript (that will be transpiled for older browsers using https://babeljs.io/). All rules for ESLint can be found here: https://eslint.org/docs/rules/. - Source: dev.to / 2 months ago
This simply extends the existing build process that many front-end frameworks have. After Babel's done with its transpilation, it merely executes code to compile your initial screen into static HTML and CSS. This isn't entirely dissimilar from how SSR hydrates your initial screen, but it's done at compile-time, not at request time. - Source: dev.to / 2 months ago
First, we switched the default compiler for new projects from Babel to SWC (Speedy Web Compiler). SWC is dramatically faster than Babel and requires zero configuration. We’ll continue to support Babel in any project currently using it. - Source: dev.to / 3 months ago
Nuxt.js is an open-source JavaScript framework built on Vue.js, Node.js, Vite, and Babel.js used for creating fast, cutting-edge applications. Nuxt.js possesses similar features to Next.js, with the major difference being the web framework it is compatible with. Next.js is a React framework whereas Nuxt.js is a Vue framework. - Source: dev.to / 5 months ago
Disclaimer: If you've already developed Babel or ESLint plugins, this article may not be as beneficial for you, as you're likely already familiar with the majority of the content covered here. - Source: dev.to / 7 months 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.
jQuery - The Write Less, Do More, JavaScript Library.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
React Native - A framework for building native apps with React
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Composer - Composer is a tool for dependency management in PHP.