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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
ThunderGBM: Fast GBDTs and Random Forests on GPUs
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Impress your boss with interactive Decision Tree visualization
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Python library for backtesting technical/mechanical strategies in the stock and currency markets