How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Online Multi-Class LPBoost
The main features of amirsaffari/online-multiclass-lpboost are: Gradient Boosting Research.
Projects with overlapping indexed features include: ajoo/nrgboost — This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025). 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.
This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).
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.
