Buefy Reviews

Scikit-learn Reviews

Buefy mentions (13)

• Awesome | Top 9 UI Frameworks for Vue.js

  Buefy is a lightweight UI component library based on Bulma. It provides simple, lightweight, and responsive components for building web interfaces. - Source: dev.to / 9 days ago

• Top UI libraries for Vue JS in 2023

  Buefy: A lightweight UI library that provides a range of customizable UI components, including forms, buttons, and navbars. - Source: dev.to / over 1 year ago

• Any UI framework for Vue that isn't so opinionated it can't be customized? - Also, what's it like working with your preferred framework?

  Back in the day I used Buefy https://buefy.org/ which is a Vue version of Bulma. I like it, I'd say it was easy to implement and I could change the style a bit without too many lines of code. Source: almost 2 years ago

• What are these #hash references in template tags ?

  I'm learning Vue and today noticed something I hadn't seen before, by Buefy component templates, namely hash-prefixed attributes on template tags e.g. Source: almost 2 years ago

• Is there a way to use `Vue.compile()` within Nuxt?

  That will render any Vue components referenced within the content returned from the API. In my case, it contained Buefy component references e.g.:. Source: about 2 years 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 / 6 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