XGP Python package with a scikit-learn interface
BSD-3-CLAUSE License
Code for Kaggle Data Science Competitions
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, Pow...
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dat...
Extreme Classification SVMs
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost ...
A constantly updated python machine learning cheatsheet
This library allows you to quickly train machine learning classifiers by automatically splitting ...
Machine Learning Project, build a Binary Classification Function in Python.
💤 Just Another Neural network
A SciKit-Learn style feature selector using best subsets and stepwise regression.
XAI - An eXplainability toolbox for machine learning
Quickly try out several ML models on a given dataset
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgk...