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A collection of research papers on decision, classification and regression trees with implementations.
cart
xgboost
catboost
lightgbm
classifier
decision-tree
random-forest
tree-ensemble
regression-tree
machine-learning
ensemble-learning
gradient-boosting
decision-tree-model
classification-model
classification-trees
statistical-learning
decision-tree-learning
decision-tree-classifier
gradient-boosting-machine
machine-learning-research
Created
2019-05-11
281 commits to master branch, last one 6 months ago
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 6 months ago
Machine Learning notebooks for refreshing concepts.
python
deep-learning
data-processing
neural-networks
machine-learning
model-evaluation
regression-models
clustering-methods
classification-trees
data-science-notebook
deep-learning-tutorial
reinforcement-learning
python-machine-learning
deep-learning-algorithms
dimensionality-reduction
machine-learning-tutorials
machine-learning-algorithms
natural-language-processing
Created
2017-10-30
117 commits to master branch, last one 5 years ago
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
Created
2018-10-16
16 commits to master branch, last one 3 years ago