Updated 6 months ago

lightgbm • Rank 33.1 • Science 46%

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.

Updated 6 months ago

shap • Rank 31.6 • Science 46%

A game theoretic approach to explain the output of any machine learning model.

Updated 6 months ago

lleaves • Rank 19.6 • Science 54%

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

Updated 6 months ago

yggdrasil-decision-forests • Rank 21.5 • Science 49%

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Updated 6 months ago

arboreto • Rank 14.2 • Science 26%

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

Updated 6 months ago

breast_cancer_diagnosis_ml • Science 57%

This project demonstrates the use of machine learning models to predict breast cancer diagnoses. The repository covers the entire workflow from data preprocessing and feature engineering to model training and evaluation, providing insights into diagnosis prediction with various ML models.

Updated 6 months ago

mt_gb • Science 39%

Multi-Task Gradient Boosting

Updated 6 months ago

gbnn-mo • Science 57%

Gradient Boosted Neural Network - Multi Output

Updated 6 months ago

gb-dnnr • Science 57%

Deep Learning for Multi-Output Regression using Gradient Boosting

Updated 6 months ago

mlrl-boomer • Science 44%

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

Updated 5 months ago

https://github.com/adibender/machine-learning-for-survival-ecml2020 • Science 13%

Code repository for "A General Machine Learning Framework for Survival Analysis" published at ECML 2020