Alternatives To Orf
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Tpot9,46340222 months ago62August 15, 2023284lgpl-3.0Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
H2o 36,61862333 months ago49August 09, 20232,746apache-2.0Jupyter 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.
Orange34,46957473 months ago63October 31, 202399otherPython
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Flaml3,500113 months ago92October 02, 2023210mitJupyter Notebook
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Machine Learning With Python2,980
a year ago8bsd-2-clauseJupyter Notebook
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mljar Supervised2,86723 months ago84September 26, 2023141mitPython
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Dtreeviz2,7202224 months ago41July 07, 202261mitJupyter Notebook
A python library for decision tree visualization and model interpretation.
Awesome Decision Tree Papers2,266
3 months ago1cc0-1.0Python
A collection of research papers on decision, classification and regression trees with implementations.
Benchm Ml1,839
2 years ago11mitR
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.).
Gcforest1,242
3 years ago35Python
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
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