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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Created
2017-07-18
48,751 commits to master branch, last one 20 hours ago
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Created
2018-11-05
1,218 commits to master branch, last one 23 days ago
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 7 months ago
CatBoost tutorials repository
Created
2018-06-25
191 commits to master branch, last one 20 hours 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 7 months ago
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Created
2018-06-01
1,096 commits to master branch, last one 3 years ago
AI比赛相关信息汇总
Created
2018-06-08
52 commits to master branch, last one about a year ago
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Created
2021-05-25
50 commits to main branch, last one about a year ago
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Created
2019-10-11
73 commits to master branch, last one 3 years ago
A full pipeline AutoML tool for tabular data
Created
2020-10-22
763 commits to main branch, last one 4 months ago
Amazon SageMaker Local Mode Examples
Created
2020-11-05
382 commits to main branch, last one 3 months ago
Machine Learning University: Decision Trees and Ensemble Methods
Created
2020-12-18
21 commits to main branch, last one about a year ago
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Created
2018-09-11
5,279 commits to master branch, last one 2 months ago
Comparison tools
Created
2017-07-17
68 commits to master branch, last one 4 months ago
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
nlp
catboost
statistics
data-science
oversampling
random-forest
computer-vision
machine-learning
data-visualization
datascienceproject
logistic-regression
recommendation-system
machinelearningprojects
support-vector-machines
decision-tree-classifier
ensemble-machine-learning
knearest-neighbor-algorithm
supervised-machine-learning
gradient-boosting-classifier
unsupervised-machine-learning
Created
2019-10-20
86 commits to master branch, last one 3 years ago
An extension of CatBoost to probabilistic modelling
Created
2019-12-20
44 commits to master branch, last one about a year ago
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Created
2018-09-27
170 commits to master branch, last one 19 days ago
Automatic machine learning for tabular data. ⚡🔥⚡
Created
2021-05-07
360 commits to main branch, last one 2 years ago
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Created
2018-02-15
30 commits to master branch, last one 5 months ago
AutoFlow : Automatic machine learning workflow modeling platform
Created
2020-04-16
270 commits to master branch, last one 4 years ago
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be app...
Created
2020-04-19
278 commits to master branch, last one 26 days ago
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Created
2021-10-24
20 commits to main branch, last one 3 years ago
Python Scripts and Jupyter Notebooks
Created
2019-02-28
120 commits to master branch, last one about a year ago
:octocat: Detection and Prediction of Air quality Index :octocat:
Created
2020-02-10
138 commits to master branch, last one 3 years ago