Robot Framework
Pytorch
Robot Framework | Pytorch | |
---|---|---|
52 | 340 | |
9,082 | 78,016 | |
1.6% | 1.4% | |
9.7 | 10.0 | |
6 days ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | BSD 1-Clause License |
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.
Robot Framework
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Beautiful is better than ugly, but my beginner code is horrible
Well, I work with software quality and despite not having a strong foundation in automation, one fine day I decided to make a change. I have been working with Robot Framework for a few months - and that's when I got a taste of the power of python. Some time later, I dabbled a little with Cypress and Playwright, always using javascript.
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Deep Dive into API Testing - An introduction to RESTful APIs
Robot Framework
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Robot Framework VS vedro - a user suggested alternative
2 projects | 16 Jul 2023
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Embedded professionals, what kind of 'github' projects would make you hire a developer?
I've used Lua/Busted in a data-heavy environment (telemetry from hospital ventilators). I've also used robot: https://robotframework.org/
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Opensource Gui testing framework
I can't say whether any of these will work, but maybe one of: PyAutoGui pytest-qt Robot Framework + plugins
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Ask HN: What is the best way to automate a Windows desktop application in 2023?
I'm looking for tools, strategies, libraries, etc. that would be useful for automating arbitrary desktop applications. Ideally something free and open source. Robot Framework (https://robotframework.org/) looks promising, although the docs seem deliberately unclear about how useable the open source libraries are without the cloud SaaS being sold on top.
Does anyone have experience in this area? What's your secret sauce for robust desktop automations?
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How is Python used in test automation in embedded systems?
In the industry I've seen the framework "Robot framework" https://robotframework.org/ used a lot for test automation.
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Successful open source RPA solutions
Check out Robot Framework @ https://robotframework.org/
- Robot Framework: generic open source automation framework
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Gherkin and Robot Framework
Greetings! They say all good things must come to an end, and with this post, so it is with my series of posts covering Robot Framework.
Pytorch
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Clasificador de imágenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbot📣🈸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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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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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Behave - BDD, Python style.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
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
Slash - The Slash testing infrastructure
flax - Flax is a neural network library for JAX that is designed for flexibility.
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Selenium WebDriver - A browser automation framework and ecosystem.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more