danker VS rexmex

Compare danker vs rexmex and see what are their differences.

danker

Compute PageRank on >3 billion Wikipedia links on off-the-shelf hardware. (by athalhammer)
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danker rexmex
1 1
53 275
- 0.0%
8.0 5.5
19 days ago 8 months ago
Python Python
GNU General Public License v3.0 only -
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.
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danker

Posts with mentions or reviews of danker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-23.
  • How to get the links of 15,000 Wiki-articles
    2 projects | /r/wikipedia | 23 Feb 2021
    Oh cool, I had my students do PageRank when I taught that class. Implementing the actual PageRank algorithm should be pretty easy, gathering and processing the data into usable form is harder, especially in Matlab which does not excel at that kind of task. You might compare your program to danker for verification and validation. I think Wikipedia also makes their page view / article popularity data available, which might be of interest to you.

rexmex

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

What are some alternatives?

When comparing danker and rexmex you can also consider the following projects:

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

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

wi-page - Rank Wikipedia Article's Contributors by Byte Counts.

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.

wembedder - Wikidata embedding

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

ranking - Learning to Rank in TensorFlow

evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

semantic-kitti-api - SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

recommenders - TensorFlow Recommenders is a library for building recommender system models using TensorFlow.