Based on our record, Inkscape seems to be a lot more popular than TensorFlow. While we know about 483 links to Inkscape, we've tracked only 7 mentions of TensorFlow. 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 / 10 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
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Sketch - Professional digital design for Mac.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Affinity Designer - Professional creative software, exclusively for Mac.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.