Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Lightgbm | 16,056 | 278 | 574 | 2 months 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 | 5 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. | ||||||||||
Machine Learning | 6,628 | 2 years ago | 3 | Python | ||||||
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归 | ||||||||||
Orange3 | 4,469 | 57 | 47 | 5 months ago | 63 | October 31, 2023 | 99 | other | Python | |
🍊 :bar_chart: :bulb: Orange: Interactive data analysis | ||||||||||
Machine Learning With Python | 2,980 | a year ago | 8 | bsd-2-clause | Jupyter Notebook | |||||
Practice and tutorial-style notebooks covering wide variety of machine learning techniques | ||||||||||
Mljar Supervised | 2,867 | 2 | 5 months ago | 84 | September 26, 2023 | 141 | mit | Python | ||
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation | ||||||||||
Dtreeviz | 2,720 | 2 | 22 | 6 months ago | 41 | July 07, 2022 | 61 | mit | Jupyter Notebook | |
A python library for decision tree visualization and model interpretation. | ||||||||||
Awesome Decision Tree Papers | 2,266 | 5 months ago | 1 | cc0-1.0 | Python | |||||
A collection of research papers on decision, classification and regression trees with implementations. | ||||||||||
Machine Learning Specialization Coursera | 2,082 | 6 months ago | 16 | mit | Jupyter Notebook | |||||
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG | ||||||||||
Data Science Complete Tutorial | 1,575 | 2 years ago | 12 | Jupyter Notebook | ||||||
For extensive instructor led learning |