Cypress.io
Selenium
Robot framework
puppeteer
Katalon
BrowserStack
TestRail
LambdaTest
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
NumPy
CUDA Toolkit
Pandas
Cypress.io PyTorchBased on our record, PyTorch should be more popular than Cypress.io. 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.
In this blog post, we'll explore a Cypress test that replicates this scenario, utilizing the powerful intercept command to manipulate network requests and responses. - Source: dev.to / 5 months ago
Maybe something like Cypress is what you're looking for? Cypress.io. Source: about 1 year ago
You won't be able to test the javascript function itself from within python, but you can exercise the front-end code using something like cypress (https://cypress.io) or the older but still respectable selenium (https://selenium.dev). Source: about 1 year ago
How are they run (services (ie. GitHub Action Runners, SauceLabs, Cypress.io, etc.), or self hosted autoscaling infrastructures)? Source: over 1 year ago
You might have noticed the e2e folder. That's a fully-functioning setup of Cypress for doing integration-level or even full end-to-end tests. - Source: dev.to / over 1 year 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 / 6 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 / 5 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 12 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 / 20 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 / 28 days ago
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
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.
Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
puppeteer - Puppeteer is a Node library which provides a high-level API to control headless Chrome or Chromium...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.