Best Practices on Recommendation Systems
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Updated
Aug 30, 2024 - Python
Best Practices on Recommendation Systems
Bugcrowd’s baseline priority ratings for common security vulnerabilities
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
Support for Competitive Coding badges to add in Github readme or portfolio websites.
A web app developed using Flask that compiles all the Problems on Codeforces that you have attempted (submitted at least once) but could not get Accepted verdict. Recommended Problems are also shown.
Github mirror of my original https://code.google.com/archive/p/pyglicko2/. For details about the Glicko-2 rating system see: http://www.glicko.net/glicko/glicko2.html and http://www.glicko.net/glicko/glicko2.pdf
Check the health of your project's requirements and get a score for each dependency.
Kubernetes Operator to transform metrics into KPIs. Support for custom transformations rules. - manages CRDs for Rating Operator
an online variant of AVrateNG
♟︎ Update a pinned gist to contain your Chess.com Blitz, Bullet, Rapid, Puzzles & Daily Ratings
The prominence of misleading comments will cause both financial loss and loss of customers. In the solution of these 2 basic problems, while the e-commerce site and the sellers will increase their sales, the customers will complete the purchasing journey without any problems.
check script for Qualys SSL Labs sslscan
Implementation of ELO rating for competitive programming for Alcoding Club
Converts the ratings exported from Letterboxd to a format that can be imported by MovieLens.
Evalica, your favourite evaluation toolkit
Add a description, image, and links to the rating topic page so that developers can more easily learn about it.
To associate your repository with the rating topic, visit your repo's landing page and select "manage topics."