Scikit-learn might be a bit more popular than Zeplin. We know about 28 links to it since March 2021 and only 21 links to Zeplin. 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.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 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: about 1 year 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: about 1 year 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
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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Invision - Prototyping and collaboration for design teams
OpenCV - OpenCV is the world's biggest computer vision library
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
NumPy - NumPy is the fundamental package for scientific computing with Python
Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.