Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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stackgbm🌳 Stacked Gradient Boosting Machines
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Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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Dc Hi guides[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
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OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
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Mli ResourcesH2O.ai Machine Learning Interpretability Resources
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
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Leavespure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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MlboxMLBox is a powerful Automated Machine Learning python library.
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M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
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KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
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MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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datascienvdatascienv 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
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JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
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autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
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recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
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cheapmlMachine Learning algorithms coded from scratch
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arboretoA scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
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HumanOrRobota solution for competition of kaggle `Human or Robot`
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