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The Top 833 Decision Trees Open Source Projects on Github

Categories > Machine Learning > Decision Trees
Lightgbm ⭐ 13,226
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.
Catboost ⭐ 6,227
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.
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
Machine Learning With Python ⭐ 3,189
Python code for common Machine Learning Algorithms
Orange3 ⭐ 3,103
🍊 📊 💡 Orange: Interactive data analysis
Machine Learning With Python ⭐ 2,139
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Awesome Decision Tree Papers ⭐ 1,888
A collection of research papers on decision, classification and regression trees with implementations.
Mljar Supervised ⭐ 1,611
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Dat8 ⭐ 1,439
General Assembly's 2015 Data Science course in Washington, DC
Text_classification ⭐ 1,301
Text Classification Algorithms: A Survey
Decisiontree ⭐ 1,190
ID3-based implementation of the ML Decision Tree algorithm
Data Science Complete Tutorial ⭐ 1,084
For extensive instructor led learning
Awesome Gradient Boosting Papers ⭐ 760
A curated list of gradient boosting research papers with implementations.
Opencv Machine Learning ⭐ 633
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
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.
Neural Backed Decision Trees ⭐ 445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Decision Forests ⭐ 373
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Rgf ⭐ 352
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.
Sharplearning ⭐ 310
Machine learning for C# .Net
Chefboost ⭐ 279
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
Fuku Ml ⭐ 278
Simple machine learning library / 簡單易用的機器學習套件
2018 Machinelearning Lectures Esa ⭐ 270
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Decisiontree.jl ⭐ 244
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Decision Tree Js ⭐ 237
Small JavaScript implementation of ID3 Decision tree
Leaves ⭐ 230
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Quickml ⭐ 229
A fast and easy to use decision tree learner in java
Machine Learning Is All You Need ⭐ 223
🔥🌟《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!
100 Days Of Ml Code ⭐ 174
A day to day plan for this challenge. Covers both theoritical and practical aspects
Machine_learning ⭐ 164
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Ai_all_resources ⭐ 148
A curated list of Best Artificial Intelligence Resources
Machine Learning In R ⭐ 144
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
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
Connected Components 3d ⭐ 132
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
Forge ⭐ 131
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
Yggdrasil Decision Forests ⭐ 115
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Mlwithpytorch ⭐ 102
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Funq ⭐ 100
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Linear Tree ⭐ 98
A python library to build Model Trees with Linear Models at the leaves.
Machine Learning In Action ⭐ 96
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
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.
Quran Tajweed ⭐ 93
Tajweed annotation for the Qur'an
Network Intrusion Detection ⭐ 85
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Ml ⭐ 84
经典机器学习算法的极简实现
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
Lleaves ⭐ 81
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.
Stmems_machine_learning_core ⭐ 81
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
Machine_learning_code ⭐ 80
机器学习与深度学习算法示例
Decisiontrees ⭐ 80
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
Evotrees.jl ⭐ 78
Boosted trees in Julia
Rubi ⭐ 74
Rubi for Mathematica
Silverdecisions ⭐ 74
Software for creating and analyzing decision trees.
Explore ⭐ 73
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
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
Sporf ⭐ 72
This is the implementation of Sparse Projection Oblique Randomer Forest
Face Landmarking ⭐ 72
Real time face landmarking using decision trees and NN autoencoders
Multi Matcher ⭐ 70
simple rules engine
Aws Machine Learning University Dte ⭐ 69
Machine Learning University: Decision Trees and Ensemble Methods
Scoruby ⭐ 66
Ruby Scoring API for PMML
Ml_code ⭐ 66
A repository for recording the machine learning code
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)
Tree_enhanced_embedding_model ⭐ 55
TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018
Quantumforest ⭐ 53
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
Top 10 Machine Learning Methods With R ⭐ 51
Includes top ten must know machine learning methods with R.
Color_recognizer ⭐ 50
Small project to learn neuronal network with classifying some basic colors based on Decision Tree Classifier and webcam input
Grasp ⭐ 49
Essential NLP & ML, short & fast pure Python code
25daysinmachinelearning ⭐ 48
I will update this repository to learn Machine learning with python with statistics content and materials
Treeheatr ⭐ 47
Heatmap-integrated Decision Tree Visualizations
Jupyter Notebooks ⭐ 46
Jupyter Notebooks and miscellaneous
Algorithmic Trading ⭐ 46
Algorithmic trading using machine learning.
Goscore ⭐ 46
Go Scoring API for PMML
Robusttrees ⭐ 43
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda ⭐ 42
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
Kdd99 Scikit ⭐ 41
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Pac Man ⭐ 40
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
Timbl ⭐ 40
TiMBL implements several memory-based learning algorithms.
Decision Tree Visualization Spark ⭐ 39
🌲 Decision Tree Visualization for Apache Spark
Soft Decision Tree ⭐ 39
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
Click Through Rate Prediction ⭐ 37
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
C4.5 ⭐ 37
A python implementation of C4.5 algorithm by R. Quinlan
The Deep Learning With Keras Workshop ⭐ 34
An Interactive Approach to Understanding Deep Learning with Keras
Bike Sharing Demand Kaggle ⭐ 33
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Data Science Popular Algorithms ⭐ 32
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Fastai ⭐ 32
I will implement Fastai in each projects present in this repository.
Multi Imbalance ⭐ 32
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
Proglearn ⭐ 30
NeuroData's package for exploring and using progressive learning algorithms
Aifad ⭐ 28
AIFAD - Automated Induction of Functions over Algebraic Data Types
Decision Trees For Ml ⭐ 27
Building Decision Trees From Scratch In Python
Breast Cancer Scikitlearn ⭐ 27
simple tutorial on Machine Learning with Scikitlearn
Machine Learning Models ⭐ 26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
R Stats Machine Learning ⭐ 25
Misc Statistics and Machine Learning codes in R
Decisiontrees ⭐ 25
A python implementation of the CART algorithm for decision trees
Prototree ⭐ 23
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Bonsai Dt ⭐ 23
Programmable Decision Tree Framework
Ssvc ⭐ 21
Stakeholder-Specific Vulnerability Categorization
Stackgbm ⭐ 21
🌳 Stacked Gradient Boosting Machines
Sentimentanalysis ⭐ 21
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Lectures On Machine Learning ⭐ 21
Repository contains reference material for Cybros Lecture Series on ML.
Machine_learing_algo_python ⭐ 21
implement the machine learning algorithms by python for studying
Loan_prediction ⭐ 20
Dflow ⭐ 20
A lightweight library for designing and executing workflows in .NET Core
1-100 of 833 projects

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User Interface Components 📦 465
Version Control 📦 29
Virtualization 📦 68
Web Browsers 📦 38
Web Servers 📦 25
Web User Interface 📦 194
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