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EpistasisLab / tpot

6k
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering xgboost

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Python Updated Jul 17, 2019

jolibrain / deepdetect

1.9k
Deep Learning API and Server in C++11 support for Caffe, Caffe2, Dlib, NCNN, Tensorflow, XGBoost and TSNE
deep-learning machine-learning caffe xgboost tensorflow rest-api server tsne object-detection image-segmentation image-classification neural-nets gpu deepdetect dlib caffe2 detectron ncnn

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C++ Updated Jul 24, 2019

benedekrozemberczki / awesome-decision-tree-papers

859
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Updated Jul 14, 2019

spotify / featran

295
A Scala feature transformation library for data science and machine learning
scala spark scio data scalding flink ml algebird breeze xgboost tensorflow

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Scala Updated Jul 18, 2019

HunterMcGushion / hyperparameter_hunter

241
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost regularized-greedy-forest deep-learning data-science python machine-learning-algorithms rgf sklearn optimization experimentation feature-engineering

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Python Updated Jul 16, 2019

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dataset machine-learning kaggle lightgbm random-forest competition ipynb python logistic-regression prediction
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