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

A sklearn style interface to Stan regression models

A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.

A tool for performing cross-validation with panel data

Polynomial regression and classification with sklearn and tensorflow

SVR for multidimensional labels

Optimizers for/and sklearn compatible Machine Learning models

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

Scikit learn compatible constrained and robust polynomial regression in Python

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

ParALleL frAmework for moDel selectIOn

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

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

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

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

Naive Bayes machine-learning classifiers for embedded systems

Simulated annealing for feature selection

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

Sklearn compatible stacking classifier.

Wrapper which provides scikit-learn-compatible implementation of SkNN sequence labeling algorithm