A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Simple and Distributed Machine Learning

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Microsoft Distributed Machine Learning Toolkit

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

A collection of research papers on decision, classification and regression trees with implementations.

[UNMAINTAINED] Automated machine learning for analytics & production

MLBox is a powerful Automated Machine Learning python library.

Time series forecasting with machine learning models

Scalable Python DS & ML, in an API compatible & lightning fast way.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Precompiled packages for AWS Lambda

Scalable machine 🤖 learning for time series forecasting.

A curated list of gradient boosting research papers with implementations.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

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