gradient-boosting

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slundberg / shap

A game theoretic approach to explain the output of any machine learning model.

machine-learning deep-learning gradient-boosting interpretability shapley shap explainability

Updated Nov 30, 2022
Jupyter Notebook

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

microsoft python machine-learning data-mining r parallel distributed kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting

Updated Dec 1, 2022
C++

ddbourgin / numpy-ml

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Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Jun 11, 2022
Python

EpistasisLab / tpot

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Updated Nov 28, 2022
Python

catboost / catboost

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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 computation on CPU and GPU.

python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features

Updated Dec 1, 2022
C

interpretml / interpret

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Fit interpretable models. Explain blackbox machine learning.

Updated Nov 21, 2022
C++

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Nov 6, 2022
Python

ClimbsRocks / auto_ml

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[UNMAINTAINED] Automated machine learning for analytics & production

Updated Feb 10, 2021
Python

stanfordmlgroup / ngboost

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Natural Gradient Boosting for Probabilistic Prediction

python machine-learning uncertainty-estimation gradient-boosting natural-gradients ngboost

Updated Nov 23, 2022
Python

benedekrozemberczki / awesome-fraud-detection-papers

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A curated list of data mining papers about fraud detection.

Updated Oct 30, 2022
Python

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

Updated Nov 6, 2022
Python

sberbank-ai-lab / LightAutoML

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LAMA - automatic model creation framework

Updated Apr 14, 2022
Python

TorchEnsemble-Community / Ensemble-Pytorch

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A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

deep-learning pytorch neural-networks ensemble ensemble-learning deeplearning gradient-boosting pytorch-tutorial bagging voting-classifier

Updated Nov 13, 2022
Python

Freemanzxp / GBDT_Simple_Tutorial

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python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

machine-learning gbdt gradient-boosting gradient-boosting-decision-trees gnm

Updated Jun 15, 2019
Python

zygmuntz / hyperband

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Tuning hyperparams fast with Hyperband

machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting

Updated Aug 15, 2018
Python

tensorflow / decision-forests

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A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

python machine-learning random-forest tensorflow keras ml decision-trees gradient-boosting interpretability decision-forest

Updated Nov 30, 2022
Python

serengil / chefboost

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python