Top 11 decision-tree Open-Source Projects
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Decision-Tree-Package
An open source Unity package for creating Decision Trees with a visual editor. The package comes with some samples to help teach users how to use it and an action manager to handle executing the results of the decision tree.
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aws-compute-decision-tree
A decision tree to help you decide on the right AWS compute service for your needs.
Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
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Index
What are some of the best open-source decision-tree projects? This list will help you:
Project | Stars | |
---|---|---|
1 | mljar-supervised | 2,936 |
2 | awesome-gradient-boosting-papers | 981 |
3 | Intrusion-Detection-System-Using-Machine-Learning | 326 |
4 | EvoTrees.jl | 173 |
5 | STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA | 116 |
6 | Scoruby | 68 |
7 | Optimal_Classification_Trees | 40 |
8 | Decision-Tree-Package | 37 |
9 | ddt | 33 |
10 | aws-compute-decision-tree | 30 |
11 | decision-tree-classifier | 2 |
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