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Search results for decision trees
decision-trees
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462 search results found
Lightgbm
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16,053
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
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7,564
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
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6,628
⚡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
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Dtreeviz
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2,720
A python library for decision tree visualization and model interpretation.
Awesome Decision Tree Papers
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2,266
A collection of research papers on decision, classification and regression trees with implementations.
Machine Learning Specialization Coursera
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2,082
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Text_classification
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1,621
Text Classification Algorithms: A Survey
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
Dat8
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1,549
General Assembly's 2015 Data Science course in Washington, DC
Decisiontree
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1,190
ID3-based implementation of the ML Decision Tree algorithm
Python_tutorials
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1,140
Python tutorials in both Jupyter Notebook and youtube format.
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Data_to_viz
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871
Leading to the dataviz you need
Opencv Machine Learning
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770
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Cloudforest
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705
Ensembles of decision trees in go/golang.
Ai_all_resources
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647
A curated list of Best Artificial Intelligence Resources
Decision Forests
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635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Featurefu
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553
Library and tools for advanced feature engineering
Phd Thesis
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468
Repository of my thesis "Understanding Random Forests"
Neural Backed Decision Trees
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445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Chefboost
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428
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Rustlearn
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418
Machine learning crate for Rust
Yggdrasil Decision Forests
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403
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Leaves
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375
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Sharplearning
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372
Machine learning for C# .Net
Rgf
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371
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.
Gbdt_simple_tutorial
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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
Machine Learning Is All You Need
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337
🔥🌟《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!
Decisiontree.jl
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326
Julia implementation of Decision Tree (CART) and Random Forest algorithms
2018 Machinelearning Lectures Esa
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324
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Connected Components 3d
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289
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
Lleaves
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279
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Fuku Ml
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278
Simple machine learning library / 簡單易用的機器學習套件
Linear Tree
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253
A python library to build Model Trees with Linear Models at the leaves.
Gbdt
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253
Gradient boosting decision trees.
Forge
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251
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
Intrusion Detection System Using Machine Learning
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248
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Decision Tree Js
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237
Small JavaScript implementation of ID3 Decision tree
Fastbdt
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237
Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
Code_collection
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231
code misc/projects/demos
Sklearn Compiledtrees
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219
Compiled Decision Trees for scikit-learn
Rubi
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205
Rubi for Mathematica
100 Days Of Ml Code
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201
A day to day plan for this challenge. Covers both theoritical and practical aspects
Soft Decision Tree
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196
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
Python_decision_tree_and_random_forest
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184
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.
Machine_learning
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183
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Aws Machine Learning University Dte
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177
Machine Learning University: Decision Trees and Ensemble Methods
Explore
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175
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
Evotrees.jl
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168
Boosted trees in Julia
Machine_learning_algorithms_from_scratch
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164
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
Ml
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153
经典机器学习算法的极简实现
Stmems_machine_learning_core
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147
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, LSM6DSV16X, LIS2DUX12, LIS2DUXS12, LSM6DSV16BX, ASM330LHHXG1
Pyensemble
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145
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
Machine Learning In R
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144
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Random Forest
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144
Randomized Decision Trees: A Fast C++ Implementation of Random Forests.
Tiny_ml
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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
Fftrees
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129
An R package to create and visualise fast-and-frugal decision trees (FFTs)
Funq
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128
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Coursera Machine Learning Specialization
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120
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Timbertrek
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116
Explore and compare 1K+ accurate decision trees in your browser!
Pynets
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111
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Mlwithpytorch
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107
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Data Science Popular Algorithms
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101
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.
Sporf
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98
This is the implementation of Sparse Projection Oblique Randomer Forest
Rf.go
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98
Random Forest implemtation in GoLang
Ewebmachine
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98
The HTTP decision tree as a plug (full elixir rewriting of basho/webmachine with improvements)
Ssvc
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98
Stakeholder-Specific Vulnerability Categorization
Machine Learning In Action
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96
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Machinelearning
⭐
94
A repo with tutorials for algorithms from scratch
Ml_code
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94
A repository for recording the machine learning code
Silverdecisions
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93
Software for creating and analyzing decision trees.
30 Days Of Ml Kaggle
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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
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93
Tajweed annotation for the Qur'an
Network Intrusion Detection
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85
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda
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85
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
Osdt
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85
Optimal Sparse Decision Trees
Betaml.jl
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83
Beta Machine Learning Toolkit
Practice Of Machine Learning
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83
code of scattered practices when studying "machine-learning".
Machine Learning Models
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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
Decisiontrees
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80
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
Genesim
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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
Face Landmarking
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72
Real time face landmarking using decision trees and NN autoencoders
Multi Matcher
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70
simple rules engine
Machine Learning In Ebpf
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69
This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl
Multi Imbalance
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68
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/mu
Exkmc
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68
Expanding Explainable K-Means Clustering
Clatern
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68
Machine Learning in Clojure
Scoruby
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66
Ruby Scoring API for PMML
Grasp
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66
Essential NLP & ML, short & fast pure Python code
Fastai
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63
I will implement Fastai in each projects present in this repository.
Predicting Diseases From Symptoms
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63
Training a decision tree to predict diseases from symptoms.
Mgbdt
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62
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
Top 10 Machine Learning Methods With R
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61
Includes top ten must know machine learning methods with R.
Federated Xgboost
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60
Federated gradient boosted decision tree learning
Alpha Zero Boosted
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60
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
Exploring Machine Learning
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60
Machine learning algorithms implementation in python with references, and with sketchy explanations.
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Python Decision Trees (496)
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