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EpistasisLab /tpot

Star9.9k

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

python data-science machine-learning automation random-forest scikit-learn aiml model-selection hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning alzheimer alzheimers nia adsp ag066833 u01ag066833

UpdatedFeb 26, 2025
Jupyter Notebook

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl

UpdatedMar 18, 2025
Jupyter Notebook

biolab /orange3

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Star5k

🍊 📊 💡 Orange: Interactive data analysis

visualization python data-science machine-learning data-mining random-forest clustering numpy scikit-learn regression pandas data-visualization classification scipy orange plotting decision-trees visual-programming orange3

UpdatedMar 14, 2025
Python

susanli2016 /Machine-Learning-with-Python

Star4.4k

Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

UpdatedMar 10, 2024
Jupyter Notebook

microsoft /FLAML

Star4.1k

A fast library for AutoML and tuning. Join our Discord:https://discord.gg/Cppx2vSPVP.

python data-science machine-learning natural-language-processing deep-learning random-forest scikit-learn jupyter-notebook tabular-data regression tuning hyperparameter-optimization classification natural-language-generation automl automated-machine-learning finetuning timeseries-forecasting hyperparam

UpdatedMar 14, 2025
Jupyter Notebook

tirthajyoti /Machine-Learning-with-Python

Star3.2k

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

flask data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence pytest classification dimensionality-reduction matplotlib decision-trees k-nearest-neighbours

UpdatedMay 22, 2023
Jupyter Notebook

mljar /mljar-supervised

Star3.1k

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost mljar automl-api automl-python

UpdatedMar 14, 2025
Python

parrt /dtreeviz

Star3k

A python library for decision tree visualization and model interpretation.

visualization python data-science machine-learning random-forest scikit-learn xgboost decision-trees model-interpretation

UpdatedMar 6, 2025
Jupyter Notebook

benedekrozemberczki /awesome-decision-tree-papers

Sponsor

Star2.4k

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

UpdatedMar 16, 2024
Python

szilard /benchm-ml

Star1.9k

A 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.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine