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.
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Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
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
A collection of research papers on decision, classification and regression trees with implementations.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
MLBox is a powerful Automated Machine Learning python library.
Scalable machine 🤖 learning for time series forecasting.
A curated list of gradient boosting research papers with implementations.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.