Inkscape
Sketch
Affinity Designer
Adobe Illustrator
Adobe Photoshop
GIMP
Krita
Canva
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
MLKit
Inkscape PyTorchBased on our record, Inkscape should be more popular than PyTorch. It has been mentiond 483 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.
Agreed. It would be nice if more apps would build scripting in. Krita has: https://scripting.krita.org/lessons/introduction while for Inkscape there is: https://inkscape.org/~pakin/%E2%98%85simple-inkscape-scripting. - Source: Hacker News / 4 days ago
All in this challenge was a journey for me, but things I really loved creating the project was understand how to set an encode SVG as background image. For this, I created my ilustrations (industries, trucks, animals, etc.) on Inkscape, I copied the SVG code and encoded using oksel.github.io/url-encoder. - Source: dev.to / 9 days ago
Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon,... - Source: dev.to / about 2 months ago
Through the years I've learned how to use some Open Source design tools like Inkscape, GIMP and Krita. While I'm not an expert on this area, I've used these tools to create graphics for some of my personal projects, and recently the logo of Let's Talk! Open Source, that I created using Inkscape. - Source: dev.to / 3 months ago
If you want full control, Inkscape is an open-source full powered vector design and illustration program. You can find most flags in .svg form (such as on Wikipedia) and use them for parts, or start completely from scratch. Source: 5 months 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 / 11 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 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 / 2 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 / about 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 / about 2 months ago
Sketch - Professional digital design for Mac.
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.
Affinity Designer - Professional creative software, exclusively for Mac.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.