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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.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Audio features extraction

Python-based implementations of algorithms for learning on imbalanced data.

A library for augmenting annotated audio data

Relevance Vector Machine implementation using the scikit-learn API.

scikit-learn wrappers for Python fastText.

A fast xgboost feature selection algorithm

LibXtract is a simple, portable, lightweight library of audio feature extraction functions.

Stacked Generalization (Ensemble Learning)

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

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

Tools for finite state automata construction and dictionary-based morphological dictionaries. Includes Polish stemming dictionary.

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

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

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

⬛ Python Individual Conditional Expectation Plot Toolbox

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.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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 library that implements fairness-aware machine learning algorithms

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