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📈 A visual way to analyze the specificity of selectors in CSS.
JavaScript Package to calculate the Specificity of CSS Selectors
MFEprimer-2.0: A fast thermodynamics-based program for checking PCR primer specificity
Small intro to CSS for people that don't understand CSS
Testing the consistency of binary classification performance scores reported in papers
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
Obsolete!! Begin to turn to PrimerServer2
Censored tweets annotated for specificity; AAAI 2019 paper: Predicting and Analyzing Language Specificity in Social Media Posts
🔎 Parse, validate, and inspect CSS selectors
CSS course selector examples
A very simple game that allows you guess the specificity of a random css selector
A browser extension that enables zooming into content (mouse pinch-to-zoom). Try now without installation: zoom.k1k1.dev. Deployed on Cloudflare Pages.
Graphic representation of css specificity of your project
Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates
I built a basic HTML & CSS website using a lot of HTML core features, such as ordered and unordered lists, parent-child relationship, descendant elements and ancestors, HTML layouts. I also used some CSS core concepts, like cascading, inheritance and specificity, the CSS box model, the different selectors, combinators, classes and IDs, block and inline elements, vertical margins and padding to inline elements, vertical margins limitations exceptions for replaced inline elements, margin collapsing.
respec allows CSS authors to assign the specificity of a rule separately from the specificity of the selector
Solve complex real-life problems with the simplicity of Keras
Statistics about your CSS selector specificity.
Simplify your CSS debugging with this specificity calculator
[AIIM] Recall & Precision results of the UTA7 statistical analysis.
Regression Model Run for the processed data, along with measuring the accuracy parameters like Sensitivity, Specificity, etc. with summary sheet included.
Basic css codes for beginners.
This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.
This repository is based on my research work "Detecting Freezing of Gait in Parkinson's Disease Patients Using Multi-Modal Machine Learning"
DiaMetrics is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
DiaMetrics_DE is the German version of Diametrics: a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
Bu çalışmamda "Makine Öğrenmesi" algoritmaları üzerine çalıştım. Bu algoritmaları veri seti üzerinde uygulayarak tahminlerde bulundum ve sonuçları analiz ettim.