Based on our record, Inkscape seems to be a lot more popular than Scikit-learn. While we know about 483 links to Inkscape, we've tracked only 27 mentions of Scikit-learn. 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
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
Sketch - Professional digital design for Mac.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Affinity Designer - Professional creative software, exclusively for Mac.
OpenCV - OpenCV is the world's biggest computer vision library
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
NumPy - NumPy is the fundamental package for scientific computing with Python