A tool for performing cross-validation with panel data

A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)

A sklearn style interface to Stan regression models

Drop-in replacement of sklearn's Linear Regression with coefficients constraints

A scikit-learn-compatible module for Isolation Kernel with aNNE implemention.

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

Python bindings and scikit-learn interface for the Operon library for symbolic regression.

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

Parallel Hyperparameter Tuning in Python

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

Polynomial regression and classification with sklearn and tensorflow

Contains data preprocessing and visualization methods for ADL datasets.

A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles

Calculate the bias of k-fold cross-validation with hyper-parameter configuration

Optimizers for/and sklearn compatible Machine Learning models

Sklearn compatible gridsearch based on a validation set.

Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.

Creating a Decision Tree Classifier using Python

A Python implementation of random vector functional networks and broad learning systems using Sklearn's Regressor and classifier APIs