Based on our record, Composer should be more popular than Keras. It has been mentiond 126 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.
First, let's set up Flight and create our project. You can download Flight from its GitHub repository or installed via composer. Composer is generally the way to go. - Source: dev.to / 4 days ago
That's because Composer stores information about all packages that should be installed in composer.lock together with some of their metadata. This helps to manage the dependencies efficiently and browse most information offline but there is currently no built-in way to compare these files when changed. - Source: dev.to / about 1 month ago
Delving into PHP frameworks like Laravel or Symfony is like building a skyscraper, with Composer acting as your "construction foreman," guiding you step by step to ensure your code is robust and awe-inspiring. This stage involves getting familiar with popular PHP frameworks such as Laravel, Symfony, CodeIgniter, etc., and utilizing the functionalities provided by these frameworks to rapidly develop efficient,... - Source: dev.to / 3 months ago
In our example application we will manage dependencies via Composer. - Source: dev.to / 4 months ago
Our project template is equipped with Composer and an autoload class pre-installed. This inclusion in the repository streamlines the setup process, particularly for this access-token course. Composer, a dependency manager for PHP, simplifies the integration of external libraries and ensures efficient autoloading of classes. It plays a pivotal role in managing project dependencies, enabling developers to focus more... - Source: dev.to / 3 months ago
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 / 9 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
jQuery - The Write Less, Do More, JavaScript Library.
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.
React Native - A framework for building native apps with React
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Babel - Babel is a compiler for writing next generation JavaScript.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.