tabmat VS pyGAM

Compare tabmat vs pyGAM and see what are their differences.

tabmat

Efficient matrix representations for working with tabular data (by Quantco)
categorical-data matrix-vector-products Dense Sparse sandwich-products Matrix
Source Code
tabmat.readthedocs.io
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pyGAM

[HELP REQUESTED] Generalized Additive Models in Python (by dswah)
Machine Learning Data Science Scientific Computing Python interpretable-machine-learning Gams
Source Code
pygam.readthedocs.io
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tabmat pyGAM
1 2
102 838
2.0% -
8.4 2.6
6 days ago 17 days ago
Python Python
BSD 3-clause "New" or "Revised" 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.

tabmat

Posts with mentions or reviews of tabmat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-11.

pyGAM

Posts with mentions or reviews of pyGAM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-11.

What are some alternatives?

When comparing tabmat and pyGAM you can also consider the following projects:

pycm - Multi-class confusion matrix library in Python

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

glum - High performance Python GLMs with all the features!

optuna - A hyperparameter optimization framework

Sparsebit - A model compression and acceleration toolbox based on pytorch.

mixed-naive-bayes - Naive Bayes with support for categorical and continuous data

DALEX - moDel Agnostic Language for Exploration and eXplanation

Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

tabmat vs pycm pyGAM vs scikit-learn tabmat vs glum pyGAM vs optuna tabmat vs Sparsebit pyGAM vs glum tabmat vs mixed-naive-bayes pyGAM vs DALEX pyGAM vs Empirical_Study_of_Ensemble_Learning_Methods pyGAM vs mljar-supervised