Software Alternatives, Accelerators & Startups

PyTorch VS PEST

Compare PyTorch VS PEST and see what are their differences

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...

PEST logo PEST

An elegant PHP testing framework with a focus on simplicity
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • PEST Landing page
    Landing page //
    2023-05-03

PyTorch videos

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

PEST videos

THE PEST BAD MOVIE REVIEW | Double Toasted

More videos:

  • Review - The Pest - Nostalgia Critic
  • Review - PESTIE review | DIY Pest Control Like a PRO | House to Home Update

Category Popularity

0-100% (relative to PyTorch and PEST)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

Share your experience with using PyTorch and PEST. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare PyTorch and PEST

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...

PEST Reviews

We have no reviews of PEST yet.
Be the first one to post

Social recommendations and mentions

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.

PyTorch mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • Mathematics secret behind AI on Digit Recognition
    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
  • Awesome List
    PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 11 days ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    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
  • Building a Simple Chatbot using GPT model - part 2
    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
View more

PEST mentions (17)

  • Embracing the Future of Web Development with Laravel, PestPHP, Livewire and Vue.js
    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
  • The PHP Orkestra Framework
    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 1 month ago
  • Wordpress tests with Pest and WP Setup
    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
  • Simplifying API Integration with Laravel's Http Facade
    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
  • Enhancing Your Laravel API with Treblle Platform
    By default, Laravel comes with PHPUnit for testing. However you can use Pest instead. - Source: dev.to / 12 months ago
View more

What are some alternatives?

When comparing PyTorch and PEST, you can also consider the following products

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.

PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Codeception - Codeception is a new full-stack testing PHP framework.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...