Popular GitHub Repositories for Gbdt

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.

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.

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

An end-to-end machine learning and data mining framework on Hadoop

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

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

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

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Show how to perform fast retraining with LightGBM in different business cases

Programmable Decision Tree Framework

[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

machine learning scala

Optimized GBDT based on LightGBM

AI 小项目代码、笔记

Collection of ML/DL related papers and notes.

Repository for the thesis study "Evaluation and Comparison of Boosted ML Models in Behavior-Based Malware Detection".

Classification and Regression problems

The something for machine learning