| benedekrozemberczki/awesome-decision-tree-papers |
2,266 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
cc0-1.0 |
Python |
| A collection of research papers on decision, classification and regression trees with implementations. |
| serengil/chefboost |
486 |
|
0 |
0 |
9 months ago |
17 |
February 16, 2022 |
0 |
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 |
| google/yggdrasil-decision-forests |
403 |
|
0 |
0 |
about 2 years ago |
8 |
December 11, 2023 |
2 |
apache-2.0 |
C++ |
| A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees. |
| Anfany/Machine-Learning-for-Beginner-by-Python3 |
225 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Python |
| 为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。 |
| moon-hotel/MachineLearningWithMe |
191 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现 |
| pmlic/PHP-ML-study |
103 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
PHP |
| This is a PHP-ML Chinese learning example |
| serengil/decision-trees-for-ml |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Building Decision Trees From Scratch In Python |
| nitsuga1986/machine-learning-nd-portfolio |
25 |
|
0 |
0 |
almost 3 years ago |
0 |
|
26 |
|
Jupyter Notebook |
| Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports. |
| dayekb/Study |
17 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки |
| YuriyGuts/cartpole-q-learning |
12 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| A cart pole balancing agent powered by Q-Learning. |
