examples
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examples | Selenium WebDriver | |
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143 | 63 | |
7,742 | 29,279 | |
1.2% | 1.2% | |
6.2 | 9.9 | |
23 days ago | about 20 hours ago | |
Jupyter Notebook | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
examples
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My Favorite DevTools to Build AI/ML Applications!
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 intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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Open Source Ascendant: The Transformation of Software Development in 2024
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.
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Best AI Tools for Students Learning Development and Engineering
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.
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Releasing The Force Of Machine Learning: A Noviceโs Guide ๐
TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
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MLOps in practice: building and deploying a machine learning app
The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
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๐ฅ14 Excellent Open-source Projects for Developers๐
10. TensorFlow - Make Machine Learning Work for You ๐ค
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GPU Survival Toolkit for the AI age: The bare minimum every developer must know
AI models, particularly those built on deep learning frameworks like TensorFlow, exhibit a high degree of parallelism. Neural network training involves numerous matrix operations, and GPUs, with their expansive core count, excel in parallelizing these operations. TensorFlow, along with other popular deep learning frameworks, optimizes to leverage GPU power for accelerating model training and inference.
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๐ฅ๐ Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot ๐ค๐ฌ
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
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Tensorflow help
I am on a new ftc team trying to get vision to work. I used the ftc machine learning tool chain but I have yet to get a good result with at best a 10% accuracy rate. I have changed everything possible in the tool chain with little luck. To fix this, I have tried making my own .tflite model using the google colab from https://www.tensorflow.org/. When ever I try to run the same code with my own .tflite model, it gives me the error "User code threw an uncaught exception: IllegalStateException - Error getting native address of native library: task_vision_jni". It gives me the same error with official tensor flow tflite test models, and when I put them on a raspberry pi, both worked just fine. Does anyone have a fix to this error or even just tips for the machine learning toolchain?
Selenium WebDriver
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JS Toolbox 2024: Bundlers and Test Frameworks
Selenium is an extensively used open-source automation framework for web applications. It allows for cross-browser testing by automating browser actions, making it a staple tool for end-to-end testing in diverse web development environments.
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What is Playwright?
While similar to Puppeteer, Cypress, and Selenium, there are some differences. Letโs find out what they are.
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Getting ModuleNotFoundError: No module named 'selenium' with Python on Windows
browser.get('http://selenium.dev/')
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Introduction to Cypress and UI Test Automation
Cypress is a next-generation front-end Automation testing tool built for modern web applications. It is a JavaScript-based end-to-end testing framework and is known for faster test execution as compared with other testing tools (like Selenium or Protractor).
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What happened to Selenium .NET documentation?
Removing ExpectedConditions from documentation makes sense since it was removed from the codebase around 2019 already.
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Opinions on changing the default branch name to something other than main or master.
https://github.com/SeleniumHQ/selenium --> trunk
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How to write tests in Django for JavaScript fetch
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).
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Chrome session failing to be created
once you solve this you may run into: https://github.com/SeleniumHQ/selenium/issues/11750, so add that workaround.
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How to scrape the web with Puppeteer in 2023
Other libraries with similar functionality are Selenium, which is very popular outside the JavaScript world, and Playwright, a younger step-brother of Puppeteer.
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9 Tools you must master to excel as a DevOps Engineer
๐ https://selenium.dev
What are some alternatives?
cppflow - Run TensorFlow models in C++ without installation and without Bazel
metamask-extension - :globe_with_meridians: :electric_plug: The MetaMask browser extension enables browsing Ethereum blockchain enabled websites
mlpack - mlpack: a fast, header-only C++ machine learning library
PyAutoGUI - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
splinter - splinter - python test framework for web applications
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
locust - Write scalable load tests in plain Python ๐๐จ
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.