Boosting
10 items across the graph — tagged with Boosting.
From the graph · 10
A game theoretic approach to explain the output of any machine learning model.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classifica…
Fit interpretable models. Explain blackbox machine learning.
Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
Boosted trees in Julia
Machine Learning for High Energy Physics.
Competing Risks and Survival Analysis
🎒 An AI/ML-powered, full-stack job-posting fraud copilot delivering calibrated risk scores, natural-language rationales, interactive chatbot, and real-time ins…