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This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).
Online Multi-Class LPBoost
Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018.
code for Variational Boosting: Iteratively Refining Posterior Approximations
The main features of andymiller/vboost are: Gradient Boosting Research.
Open-source alternatives to andymiller/vboost include: ajoo/nrgboost — This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025). amirsaffari/online-multiclass-lpboost — Online Multi-Class LPBoost. 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.
