Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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.

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

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.

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.

mlim: single and multiple imputation with automated machine learning

Watt's Up, Doc? is a project focused on forecasting electricity prices using time series data. Utilizing advanced feature engineering and various machine learning techniques, this study demonstrates the significance of temporal data in predictive modeling and compares model performances with and without feature engineering.

A full pipeline AutoML tool for tabular data

Train Gradient Boosting models that are both high-performance *and* Fair!

Performance of various open source GBM implementations

A GBM tool for X-ray pulsar analysis. The GBM data filtering and the barycentric correction are implemented.

A self-generalizing, hyperparameter-free gradient boosting machine

HIV-1 Envelope Sequence Resistance Predictor to 33 Broadly Neutralizing Antibodies

Vulkan benchmark

Lightweight screen streaming server

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

use the data set and run the ipynb file

Detect Credit Card Fraud with Machine Learning in R

🌳 Stacked Gradient Boosting Machines

[WIP] Library used to assists in building C based applications that require vulkan renderers.