This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).
Principalele funcționalități ale ajoo/nrgboost sunt: Gradient Boosting Research.
Alternativele open-source pentru ajoo/nrgboost includ: amirsaffari/online-multiclass-lpboost — Online Multi-Class LPBoost. andymiller/vboost — code for Variational Boosting: Iteratively Refining Posterior Approximations. anitan0925/resfgb — Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018. arogozhnikov/infiniteboost — Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov,… benedekrozemberczki/boostedfactorization — An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019). aciditeam/acidano.
Online Multi-Class LPBoost
code for Variational Boosting: Iteratively Refining Posterior Approximations
Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018.
