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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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Safe Bayesian Optimization
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
A strongly-typed genetic programming framework for Python
No description.
Library for machine learning stacking generalization.
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
SigOpt wrappers for scikit-learn methods
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
a feature engineering wrapper for sklearn
No description.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
Auralisation of learned features in CNN (for audio)
scikit-learn addon to operate on set/"group"-based features
Universal 1d/2d data containers with Transformers functionality for data analysis.
Machine learning on dirty tabular data (legacy clone of skrub)
No description.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
TensorLight - A high-level framework for TensorFlow