openskill.py VS karateclub

Compare openskill.py vs karateclub and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
openskill.py karateclub
22 1
241 2,086
4.1% -
7.3 7.0
6 days ago about 2 months ago
Jupyter Notebook Python
MIT License 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.
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.

openskill.py

Posts with mentions or reviews of openskill.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-01.

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.

What are some alternatives?

When comparing openskill.py and karateclub you can also consider the following projects:

trueskill - An implementation of the TrueSkill rating system for Python

tensorflow - An Open Source Machine Learning Framework for Everyone

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Keras - Deep Learning for humans

Data Flow Facilitator for Machine Learning (dffml) - The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

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

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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

gensim - Topic Modelling for Humans