ranking VS CSrankings

Compare ranking vs CSrankings and see what are their differences.

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas. (by emeryberger)
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ranking CSrankings
1 121
2,714 2,594
0.1% -
6.3 9.7
about 2 months ago 3 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ranking

Posts with mentions or reviews of ranking. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] learning to Rank
    1 project | /r/MachineLearning | 21 Feb 2021
    There are many different models and loss functions used for ranking (Tensorflow Ranking offers a bunch, probably also available for Jax / Pytorch / etc., or easily convertible).

CSrankings

Posts with mentions or reviews of CSrankings. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-20.

What are some alternatives?

When comparing ranking and CSrankings you can also consider the following projects:

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

Github-Ranking - :star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新

torchsort - Fast, differentiable sorting and ranking in PyTorch

rexmex - A general purpose recommender metrics library for fair evaluation.

RecBole - A unified, comprehensive and efficient recommendation library

recommenders - Best Practices on Recommendation Systems

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

Research-Internships-for-Undergraduates - List of Research Internships for Undergraduate Students

spotlight - Deep recommender models using PyTorch.

getting-a-gig - Guide for getting a gig as a tech student.