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A curated list of gradient boosting research papers with implementations.
h2o
xgboost
adaboost
boosting
catboost
lightgbm
classifier
decision-tree
deep-learning
random-forest
machine-learning
gradient-boosting
xgboost-algorithm
classification-tree
classification-trees
gradient-boosted-trees
classification-algorithm
gradient-boosting-machine
gradient-boosting-classifier
gradient-boosting-decision-trees
Created
2019-05-11
206 commits to master branch, last one 7 months ago
Combining tree-boosting with Gaussian process and mixed effects models
Created
2020-04-03
940 commits to master branch, last one 3 days ago
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Created
2018-09-15
149 commits to master branch, last one about a year ago
Machine Learning University: Decision Trees and Ensemble Methods
Created
2020-12-18
21 commits to main branch, last one about a year ago
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
Created
2015-12-28
2,199 commits to master branch, last one 17 days ago
Python版OpenCVのTracking APIの比較サンプル
Created
2021-07-15
15 commits to main branch, last one 9 months ago
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
Created
2019-01-04
69 commits to master branch, last one 2 years ago
The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)
Created
2023-01-27
59 commits to main branch, last one about a month ago
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
Created
2022-03-18
7 commits to main branch, last one 2 years ago