karateclub VS python-recsys

Compare karateclub vs python-recsys and see what are their differences.

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) (by benedekrozemberczki)
Machine Learning community-detection graph-clustering Deepwalk Networkx Louvain network-science unsupervised-learning Gcn Node2vec Graph2vec supervised-learning Sklearn networkx-graph Scikit label-propagation graph-embedding network-embedding node-embedding 2vec
Source Code
karateclub.readthedocs.io
Docs
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python-recsys

A python library for implementing a recommender system (by ocelma)
Machine Learning
Source Code
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karateclub python-recsys
1 -
2,084 1,468
- -
7.0 0.0
about 2 months ago over 3 years ago
Python Python
GNU General Public License v3.0 only http://www.gnu.org/copyleft/gpl.html
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.

karateclub

Posts with mentions or reviews of karateclub. We have used some of these posts to build our list of alternatives and similar projects.
  • Embedding attributed graphs
    1 project | /r/MLQuestions | 5 Feb 2023
    Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.

python-recsys

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

We haven't tracked posts mentioning python-recsys yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing karateclub and python-recsys you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

Surprise - A Python scikit for building and analyzing recommender systems

Keras - Deep Learning for humans

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

gym - A toolkit for developing and comparing reinforcement learning algorithms.

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

scikit-learn - scikit-learn: machine learning in Python

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

gensim - Topic Modelling for Humans

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

karateclub vs tensorflow python-recsys vs Surprise karateclub vs Keras python-recsys vs Crab karateclub vs xgboost python-recsys vs Keras karateclub vs gym python-recsys vs LightFM karateclub vs scikit-learn python-recsys vs PaddlePaddle karateclub vs gensim python-recsys vs Clairvoyant