Ant Design Reviews

Scikit-learn Reviews

Ant Design mentions (97)

• What UI density means and how to design for it

  I was using a Chinese website recently based on the “ant design” [^1] library / philosophy. It’s a really UI dense way of doing things and I really enjoyed having everything there without having to go hunting into menus. [1]: https://ant.design/. - Source: Hacker News / about 1 month ago

• Creating an AI photo generator and editing app with React

  Ant Design (antd) is a React component library for building beautiful and modern user interfaces. It comes with a collection of prebuilt, enterprise-level UI components. To install Ant Design, use the command below:. - Source: dev.to / 5 months ago

• Top React Component UI Libraries to Enhance Your Web Development Projects

  Ant Design is a fantastic toolkit for React developers. It's like having a box of building blocks that are not only stylish but also super functional. With Ant Design, you get a collection of pre-made React components that you can easily put together to create a sleek and modern look for your web projects. Whether you're a beginner or a seasoned developer, Ant Design simplifies the process of making your web... - Source: dev.to / 7 months ago

• 45 NPM Packages to Solve 16 React Problems

  Ant-design -> Less configurable. Limited but nice components. - Source: dev.to / 8 months ago

• I hate CSS: how can I build UIs?

  Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / 8 months ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 18 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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 / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  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 / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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