Based on our record, PyTorch should be more popular than Zeplin. It has been mentiond 106 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.
Additionally, thank you to all our community launch partners across the frontend ecosystem for helping us bring Storybook 8 to the world! Thanks to Chromatic, Figma, ViteConf, Omlet, DivRiots, story.to.design, StackBlitz, UXpin, Nx, Mock Service Worker, Anima, Zeplin, zeroheight, kickstartDS, and Kendo UI. - Source: dev.to / 2 months ago
Designers would often use separate tools like Zeplin or Invision to handoff the designs to developers.🚮. - Source: dev.to / 3 months ago
Zeplin — Designer and developer collaboration platform. Show designs, assets, and style guides. Free for one project. - Source: dev.to / 4 months ago
I'd suggest if you're going to use a tool to collaborate on finalized designs. One that doesn't rely on which design tool you use, why not use zeplin.io? There are free plans and paid plans, and it was purpose built for design delivery. Over 5 million users--over 3 million developers using it. Source: 11 months ago
It seems to be you and your team could benefit from a tool like zeplin. Source: about 1 year ago
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... - Source: dev.to / 27 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
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. - Source: dev.to / 2 months ago
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. - Source: dev.to / 2 months ago
Invision - Prototyping and collaboration for design teams
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.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.