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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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Feature engineering and selection open-source Python library compatible with sklearn.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
The Python ensemble sampling toolkit for affine-invariant MCMC
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
The Classical Language Toolkit
ML powered analytics engine for outlier detection and root cause analysis.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Python package for Bayesian Machine Learning with scikit-learn API
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.