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Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Gpboost ⭐ 486

Combining tree-boosting with Gaussian process and mixed effects models

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

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

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

sciblox - Easier Data Science and Machine Learning

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Rforestry ⭐ 29

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Miniboosts ⭐ 25

A collection of boosting algorithms written in Rust 🦀

Disentangled Attribution Curves ⭐ 23

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

Spark Ensemble ⭐ 21

Ensemble Learning for Apache Spark 🌲

Machine_learning ⭐ 21

A repository of resources for understanding the concepts of machine learning/deep learning.

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Smartboost.jl ⭐ 12

SMARTboost (boosting of smooth symmetric regression trees)

Hr Analytics ⭐ 12

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

MILBoost and other boosting algorithms, compatible with scikit-learn

Viola Jones ⭐ 10

A face detection program in python using Viola-Jones algorithm.

Evolinear.jl ⭐ 10

Bootcamp Idao 2022 ⭐ 9

IDAO 2022: Machine Learning Bootcamp

Logitboost ⭐ 9

LogitBoost classification algorithm built on top of scikit-learn

In Depth Ml ⭐ 9

In depth machine learning resources

Simple Gradient Boosting ⭐ 8

Very simple and short implementation of gradient boosting in 18 lines of code

Kaggle House Prices Advanced Regression Techniques ⭐ 7

House Prices: Advanced Regression Techniques - Kaggle competition

A simplified implement of Adaptive boosting.

Machine_learning_hackathons ⭐ 5

Machine learning and Deep Learning Hackathon Solutions

Titanic Passenger Survival Prediction ⭐ 5

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

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