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The Top 10 Random Forest Open Source Projects
Open source projects categorized as Random Forest
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EpistasisLab/tpot
⭐
9,385
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
h2oai/h2o-3
⭐
7,508
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.
dependent packages
0
total releases
0
most recent commit
2 months ago
biolab/orange3
⭐
4,469
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
dependent packages
0
total releases
0
most recent commit
about 2 years ago
microsoft/FLAML
⭐
3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
dependent packages
0
total releases
0
most recent commit
about 2 years ago
mljar/mljar-supervised
⭐
2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
dependent packages
0
total releases
0
most recent commit
about 2 years ago
parrt/dtreeviz
⭐
2,720
A python library for decision tree visualization and model interpretation.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
tirthajyoti/Machine-Learning-with-Python
⭐
2,712
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
dependent packages
0
total releases
0
most recent commit
almost 3 years ago
benedekrozemberczki/awesome-decision-tree-papers
⭐
2,266
A collection of research papers on decision, classification and regression trees with implementations.
dependent packages
0
total releases
0
most recent commit
about 2 years ago
szilard/benchm-ml
⭐
1,839
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.).
dependent packages
0
total releases
0
most recent commit
over 3 years ago
kk7nc/Text_Classification
⭐
1,621
Text Classification Algorithms: A Survey
dependent packages
0
total releases
0
most recent commit
over 3 years ago
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