Gradient boosting on steroids
MIT License
Implementation of different ML Algorithms from scratch, written in Python 3.x
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
MILBoost and other boosting algorithms, compatible with scikit-learn
Error Learning Package for Machine Learning
[UNMAINTAINED] Automated machine learning for analytics & production
Probabilistic Time Series Forecasting
a library used for stacking based on scikit-learn
A python library to build Model Trees with Linear Models at the leaves.
Genetic Programming in Python, with a scikit-learn inspired API
3 lines of code for automate machine learning for classification and regression
An experiment about re-implementing supervised learning models based on shallow neural network ap...
Automated Machine Learning Library Using Random Search and Cash Technique
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
⏸ Parallelized hyper-param optimization with validation set, not crossval
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...