g-index VS ranking

Compare g-index vs ranking and see what are their differences.

g-index

We propose g-index (GitHub-Based University Ranking) to rank US universities according to their open source contributions. (by hxu296)
University Github Ranking
Source Code
hxu296.shinyapps.io
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ranking

Learning to Rank in TensorFlow (by tensorflow)
Ranking Machine Learning Deep Learning information-retrieval learning-to-rank Recommender Systems
Source Code
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g-index ranking
3 1
7 2,714
- 0.1%
0.0 6.3
almost 2 years ago about 2 months ago
R Python
MIT License Apache License 2.0
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.

g-index

Posts with mentions or reviews of g-index. We have used some of these posts to build our list of alternatives and similar projects.

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).

What are some alternatives?

When comparing g-index and ranking you can also consider the following projects:

go-web-framework-stars - :star: Web frameworks for Go, most starred on GitHub

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

torchsort - Fast, differentiable sorting and ranking in PyTorch

RecBole - A unified, comprehensive and efficient recommendation library

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

recommenders - Best Practices on Recommendation Systems

spotlight - Deep recommender models using PyTorch.

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

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.

rank_bm25 - A Collection of BM25 Algorithms in Python

g-index vs go-web-framework-stars ranking vs LightFM ranking vs torchsort ranking vs RecBole ranking vs BERT-QE ranking vs recommenders ranking vs spotlight ranking vs rexmex ranking vs CSrankings ranking vs rank_bm25