342 Open source projects that are alternatives of or similar to Awesome Gradient Boosting Papers

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

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Organize your folders into a beautiful classified folder structure with this perfect tool

Search the best feature subset for you classification mode

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Original implementation of Calibrated Boosting-Forest

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simple tutorial on Machine Learning with Scikitlearn

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The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.

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A curated list of research, applications and projects built using the H2O Machine Learning platform

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ThunderGBM: Fast GBDTs and Random Forests on GPUs

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Open solution to the Mapping Challenge 🌎

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This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

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A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.

R package "missRanger" for fast imputation of missing values by random forests.

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

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

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Python code for common Machine Learning Algorithms

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Presentations from H2O meetups & conferences by the H2O.ai team

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