Based on our record, PyTorch should be more popular than PEST. It has been mentiond 112 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.
Testing was previously a significant challenge for me until I discovered PestPHP. Its simplicity and expressive syntax transformed a tedious task into a valuable and efficient part of the development process. With PestPHP, ensuring the reliability of my code has never been easier or more efficient. It provides a safety net that catches bugs before they become problems, allowing me to concentrate on building and... - Source: dev.to / 6 days ago
As you can see this template will add and configura the Pest test suite with a custom TestCase class that will start the application for your tests, making easy to test your application services (as used by Orkestra itself) and you will see a basic application, with a single route in the file config/routes.php that calls a Controller that simply render a Twig view. - Source: dev.to / about 2 months ago
Today, I finished the first implementation of this environment, adding Pest and PHPUnit in v10.5, which is currently not supported by default with WP Env. - Source: dev.to / 2 months ago
Below, I added some examples for testing the request and client classes. For the tests, I am using Pest PHP which provides a clean syntax and additional features on top of PHPUnit. - Source: dev.to / 7 months ago
By default, Laravel comes with PHPUnit for testing. However you can use Pest instead. - Source: dev.to / 12 months ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 5 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 4 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 11 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 19 days ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / 27 days ago
PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks
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.
Codeception - Codeception is a new full-stack testing PHP framework.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.