random-forest

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

Python code for common Machine Learning Algorithms

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

A python library for decision tree visualization and model interpretation.

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

A curated list of data mining papers about fraud detection.

Text Classification Algorithms: A Survey

A curated list of Best Artificial Intelligence Resources

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Generalized Random Forests

A curated list of gradient boosting research papers with implementations.

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Machine Learning inference engine for Microcontrollers and Embedded devices

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

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Compendium of free ML reading resources

Machine Learning library for the web and Node.

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams