481 Open source projects that are alternatives of or similar to Awesome Decision Tree Papers

Building Decision Trees From Scratch In Python

A curated list of gradient boosting research papers with implementations.

🌳 Stacked Gradient Boosting Machines

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Machine Learning University: Decision Trees and Ensemble Methods

A full pipeline AutoML tool for tabular data

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

A python implementation of the CART algorithm for decision trees

Automatic machine learning for tabular data. ⚡🔥⚡

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

[UNMAINTAINED] Automated machine learning for analytics & production

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

A curated list of data mining papers about fraud detection.

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

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

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

文本分类基准测试

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)

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Ruby Scoring API for PMML

A python library for decision tree visualization and model interpretation.

Scalable machine 🤖 learning for time series forecasting.

Jupyter Notebooks and miscellaneous

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

(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

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.

Programmable Decision Tree Framework

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

2017第一届腾讯社交广告高校算法大赛Rank28_code

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Bayesian Optimization and Grid Search for xgboost/lightgbm

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Boosted trees in Julia

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).

关注AI模型上线、模型部署

a solution for competition of kaggle `Human or Robot`

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Machine learning for C# .Net

Real time eye tracking for embedded and mobile devices.

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

AI比赛相关信息汇总

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

住房月租金预测大数据赛TOP1

Open solution to the Home Credit Default Risk challenge 🏡

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