Genesim
[DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Lightgbm | 15,999 |  | 278 | 574 | 19 days ago | 34 | September 12, 2023 | 345 | mit | C++ |
| A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | ||||||||||
| Catboost | 7,564 | 12 | 3 months ago | 20 | September 19, 2023 | 539 | apache-2.0 | Python | ||
| A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. | ||||||||||
| Orange3 | 4,469 |  | 57 | 47 | 3 months ago | 63 | October 31, 2023 | 99 | other | Python |
| 🍊 :bar_chart: :bulb: Orange: Interactive data analysis | ||||||||||
| Interpretable_machine_learning_with_python | 629 | a year ago | 1 | Jupyter Notebook | ||||||
| Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. | ||||||||||
| Chefboost | 428 | 4 months ago | 17 | February 16, 2022 | mit | Python | ||||
| A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python | ||||||||||
| Osdt | 85 | a year ago | 5 | mit | Python | |||||
| Optimal Sparse Decision Trees | ||||||||||
| Network Intrusion Detection | 85 | 4 years ago | 2 | Jupyter Notebook | ||||||
| Machine Learning with the NSL-KDD dataset for Network Intrusion Detection | ||||||||||
| Genesim | 72 | 3 years ago | other | Scilab | ||||||
| [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance | ||||||||||
| Algorithmic Trading | 46 | 6 years ago | gpl-3.0 | Python | ||||||
| Algorithmic trading using machine learning. | ||||||||||
| Fudanuniversity Datamining | 18 | a year ago | Jupyter Notebook | |||||||
| 2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA) | ||||||||||
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