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The Top 1,428 Decision Trees Open Source Projects

Categories > Machine Learning > Decision Trees
Lightgbm ⭐ 14,062
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.
dependent packages 352total releases 29most recent commit 8 hours agopypi lightgbm} Downloads
Catboost ⭐ 6,689
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
dependent packages 5total releases 59most recent commit 2 days ago
Machine Learning ⭐ 4,387
⚡️机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
most recent commit a year ago
Orange3 ⭐ 3,622
🍊 📊 💡 Orange: Interactive data analysis
dependent packages 37total releases 56most recent commit 7 days agopypi Orange3} Downloads
Machine Learning With Python ⭐ 2,221
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
most recent commit 7 months ago
Dtreeviz ⭐ 2,170
A python library for decision tree visualization and model interpretation.
dependent packages 12total releases 30most recent commit 4 days agopypi dtreeviz} Downloads
Mljar Supervised ⭐ 2,021
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
dependent packages 2total releases 76most recent commit a day agopypi mljar-supervised} Downloads
Awesome Decision Tree Papers ⭐ 1,983
A collection of research papers on decision, classification and regression trees with implementations.
most recent commit 2 months ago
Text_classification ⭐ 1,504
Text Classification Algorithms: A Survey
most recent commit 5 months ago
Dat8 ⭐ 1,439
General Assembly's 2015 Data Science course in Washington, DC
most recent commit 6 years ago
Data Science Complete Tutorial ⭐ 1,225
For extensive instructor led learning
most recent commit 7 months ago
Decisiontree ⭐ 1,190
ID3-based implementation of the ML Decision Tree algorithm
dependent packages 6total releases 5most recent commit 4 years agorubygems decisiontree} Downloads
Python_tutorials ⭐ 1,022
Python tutorials in both Jupyter Notebook and youtube format.
most recent commit 16 days ago
Awesome Gradient Boosting Papers ⭐ 796
A curated list of gradient boosting research papers with implementations.
most recent commit 2 months ago
Cloudforest ⭐ 705
Ensembles of decision trees in go/golang.
most recent commit 6 months ago
Opencv Machine Learning ⭐ 633
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
most recent commit 4 years ago
Data_to_viz ⭐ 633
Leading to the dataviz you need
most recent commit 3 months ago
Featurefu ⭐ 553
Library and tools for advanced feature engineering
most recent commit 7 years ago
Decision Forests ⭐ 489
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 1total releases 19most recent commit 21 hours agopypi tensorflow-decision-forests} Downloads
Interpretable_machine_learning_with_python ⭐ 472
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
most recent commit 2 years ago
Phd Thesis ⭐ 468
Repository of my thesis "Understanding Random Forests"
most recent commit 6 years ago
Neural Backed Decision Trees ⭐ 445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
most recent commit a year ago
Rustlearn ⭐ 418
Machine learning crate for Rust
total releases 9most recent commit 2 years ago
Gbdt_simple_tutorial ⭐ 371
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解 Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
most recent commit 3 years ago
Rgf ⭐ 354
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.
dependent packages 8total releases 28most recent commit 7 months agopypi rgf-python} Downloads
Chefboost ⭐ 330
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
total releases 17most recent commit 3 months ago
Sharplearning ⭐ 310
Machine learning for C# .Net
dependent packages 14total releases 42most recent commit 9 months agonuget SharpLearning.Containers} Downloads
Decisiontree.jl ⭐ 288
Julia implementation of Decision Tree (CART) and Random Forest algorithms
most recent commit a month ago
Fuku Ml ⭐ 278
Simple machine learning library / 簡單易用的機器學習套件
total releases 35most recent commit 4 years ago
2018 Machinelearning Lectures Esa ⭐ 270
Machine Learning Lectures at the European Space Agency (ESA) in 2018
most recent commit 2 years ago
Decisiontree.jl ⭐ 257
Julia implementation of Decision Tree (CART) and Random Forest algorithms
most recent commit 6 months ago
Gbdt ⭐ 253
Gradient boosting decision trees.
total releases 7most recent commit 4 years ago
Machine Learning Is All You Need ⭐ 253
🔥🌟《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!
most recent commit 4 months ago
Decision Tree Js ⭐ 237
Small JavaScript implementation of ID3 Decision tree
most recent commit 5 years ago
Fastbdt ⭐ 237
Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
most recent commit 5 years ago
Leaves ⭐ 230
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
dependent packages 1total releases 2most recent commit 2 years ago
Sklearn Compiledtrees ⭐ 219
Compiled Decision Trees for scikit-learn
total releases 9most recent commit a year ago
Ai_all_resources ⭐ 208
A curated list of Best Artificial Intelligence Resources
most recent commit 2 months ago
Soft Decision Tree ⭐ 196
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
most recent commit 4 years ago
Code_collection ⭐ 194
code misc/projects/demos
most recent commit 3 months ago
Yggdrasil Decision Forests ⭐ 190
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
most recent commit a day ago
Nodejs Decision Tree Id3 ⭐ 188
NodeJS Implementation of Decision Tree using ID3 Algorithm
dependent packages 3total releases 7most recent commit a year agonpm decision-tree} Downloads
100 Days Of Ml Code ⭐ 187
A day to day plan for this challenge. Covers both theoritical and practical aspects
most recent commit a month ago
Machine_learning ⭐ 183
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
most recent commit 4 months ago
Connected Components 3d ⭐ 181
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
dependent packages 7total releases 44most recent commit 2 months agopypi connected-components-3d} Downloads
Forge ⭐ 169
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
total releases 8most recent commit 4 months ago
Linear Tree ⭐ 168
A python library to build Model Trees with Linear Models at the leaves.
total releases 7most recent commit a month ago
Lleaves ⭐ 160
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
total releases 9most recent commit 8 days ago
Pyensemble ⭐ 145
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
most recent commit a year ago
Random Forest ⭐ 144
Randomized Decision Trees: A Fast C++ Implementation of Random Forests.
most recent commit 6 years ago
Machine Learning In R ⭐ 144
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
most recent commit a year ago
Tiny_ml ⭐ 137
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
most recent commit 3 years ago
Ml ⭐ 136
经典机器学习算法的极简实现
most recent commit 3 months ago
Python_decision_tree_and_random_forest ⭐ 129
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
most recent commit 2 months ago
Machine_learning_algorithms_from_scratch ⭐ 123
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
most recent commit 2 months ago
Fftrees ⭐ 121
An R package to create and visualise fast-and-frugal decision trees (FFTs)
dependent packages 1total releases 15most recent commit 5 hours ago
Stmems_machine_learning_core ⭐ 114
Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX
most recent commit 6 days ago
Pynets ⭐ 111
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
total releases 245most recent commit 2 months ago
Mlwithpytorch ⭐ 107
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
most recent commit 8 months ago
Aws Machine Learning University Dte ⭐ 106
Machine Learning University: Decision Trees and Ensemble Methods
most recent commit 3 months ago
Funq ⭐ 104
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
most recent commit 8 months ago
Evotrees.jl ⭐ 102
Boosted trees in Julia
most recent commit 16 hours ago
Rf.go ⭐ 98
Random Forest implemtation in GoLang
most recent commit 8 years ago
Machine Learning In Action ⭐ 96
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
most recent commit 3 years ago
Intrusion Detection System Using Machine Learning ⭐ 96
Code for intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
most recent commit 9 days ago
Ewebmachine ⭐ 95
The HTTP decision tree as a plug (full elixir rewriting of basho/webmachine with improvements)
total releases 23most recent commit 8 months ago
Ml_code ⭐ 94
A repository for recording the machine learning code
most recent commit 24 days ago
Machinelearning ⭐ 94
A repo with tutorials for algorithms from scratch
most recent commit 4 years ago
30 Days Of Ml Kaggle ⭐ 93
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
most recent commit a year ago
Quran Tajweed ⭐ 93
Tajweed annotation for the Qur'an
most recent commit 10 months ago
Silverdecisions ⭐ 86
Software for creating and analyzing decision trees.
most recent commit 6 months ago
Network Intrusion Detection ⭐ 85
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
most recent commit 2 years ago
Explore ⭐ 83
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
dependent packages 1total releases 16most recent commit 9 days ago
Practice Of Machine Learning ⭐ 83
code of scattered practices when studying "machine-learning".
most recent commit 3 years ago
Machine Learning Models ⭐ 81
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
most recent commit 5 years ago
Decisiontrees ⭐ 80
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
most recent commit 6 years ago
Rubi ⭐ 74
Rubi for Mathematica
most recent commit 2 years ago
Machine Learning Specialization Coursera ⭐ 73
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
most recent commit 15 days ago
Sporf ⭐ 72
This is the implementation of Sparse Projection Oblique Randomer Forest
most recent commit 2 years ago
Genesim ⭐ 72
[DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance
most recent commit 2 years ago
Face Landmarking ⭐ 72
Real time face landmarking using decision trees and NN autoencoders
most recent commit 3 years ago
Multi Matcher ⭐ 70
simple rules engine
total releases 8most recent commit 2 years ago
Clatern ⭐ 68
Machine Learning in Clojure
most recent commit 7 years ago
Scoruby ⭐ 66
Ruby Scoring API for PMML
total releases 19most recent commit 2 years ago
Multi Imbalance ⭐ 65
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/mu
total releases 14most recent commit 2 months ago
Incremental_decision_tree Cart Random_forest ⭐ 65
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
most recent commit 2 years ago
Predicting Diseases From Symptoms ⭐ 63
Training a decision tree to predict diseases from symptoms.
most recent commit 5 years ago
Mgbdt ⭐ 62
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
most recent commit 4 years ago
Top 10 Machine Learning Methods With R ⭐ 61
Includes top ten must know machine learning methods with R.
most recent commit 4 months ago
Alpha Zero Boosted ⭐ 60
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
most recent commit 2 years ago
Exploring Machine Learning ⭐ 60
Machine learning algorithms implementation in python with references, and with sketchy explanations.
most recent commit 3 years ago
Predicting_real_estate_prices_using_scikit Learn ⭐ 59
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)
most recent commit 3 years ago
Grasp ⭐ 57
Essential NLP & ML, short & fast pure Python code
most recent commit 2 months ago
Tree_enhanced_embedding_model ⭐ 55
TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018
most recent commit 3 years ago
Exkmc ⭐ 55
Expanding Explainable K-Means Clustering
total releases 2most recent commit 4 months ago
Quantumforest ⭐ 53
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
most recent commit 9 months ago
Treeheatr ⭐ 53
Heatmap-integrated Decision Tree Visualizations
most recent commit a day ago
Language Detection.el ⭐ 53
Automatic programming language detection of code snippets, in Emacs Lisp
most recent commit 6 years ago
Interpreting Decision Trees And Random Forests ⭐ 53
Unwrapping decision trees and random forests to make them less of a black box
most recent commit 5 years ago
Jupyter Notebooks ⭐ 51
Jupyter Notebooks and miscellaneous
most recent commit a month ago
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