Awesome Python Data Science

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Genetic feature selection module for scikit-learn

Solve automatic numerical differentiation problems in one or more variables.

Bayesian Optimization using GPflow

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

Audio features extraction

A library for augmenting annotated audio data

scikit-learn wrappers for Python fastText.

A fast xgboost feature selection algorithm

Stacked Generalization (Ensemble Learning)

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs

QML: Quantum Machine Learning

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

functional data manipulation for pandas

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

⬛ Python Individual Conditional Expectation Plot Toolbox

Safe Bayesian Optimization

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

A library that implements fairness-aware machine learning algorithms

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).

A library for hidden semi-Markov models with explicit durations

SigOpt wrappers for scikit-learn methods

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

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

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.

TensorLight - A high-level framework for TensorFlow

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.