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Top 71 decision-trees open source projects

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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.
Machine Learning Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Machine Learning In R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Network Intrusion Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Rubi for Mathematica
Predicting real estate prices using scikit Learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Quran Tajweed
Tajweed annotation for the Qur'an
This is the implementation of Sparse Projection Oblique Randomer Forest
Software for creating and analyzing decision trees.
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
A python implementation of C4.5 algorithm by R. Quinlan
Heatmap-integrated Decision Tree Visualizations
Neural Backed Decision Trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
c++ implementation of decision tree algorithm
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
AIFAD - Automated Induction of Functions over Algebraic Data Types
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
[ICML 2021] A fast algorithm for fitting robust decision trees.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Final project of IBM's course on coursera
This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.
A tool for visualizing the structure and performance of Random Forests 🌳
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Python package for tackling multi-class imbalance problems.
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