karateclub VS H2O

Compare karateclub vs H2O and see what are their differences.

H2O

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. (by h2oai)
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karateclub H2O
0 0
1,440 5,631
- 1.5%
8.5 9.9
8 days ago 5 days ago
Python Jupyter Notebook
GNU General Public License v3.0 only 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.

karateclub

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

We haven't tracked posts mentioning karateclub yet.
Tracking mentions began in Dec 2020.

H2O

Posts with mentions or reviews of H2O. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning H2O yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing karateclub and H2O you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

Keras - Deep Learning for humans

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

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

MindsDB - Predictive AI layer for existing databases.

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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