| 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. |
| PauloCarvalhoRJ/gammaray |
35 |
|
0 |
0 |
over 2 years ago |
0 |
|
55 |
other |
C++ |
| GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in Apr, 22nd: MCRFSim for Bayesian approach. |
| serengil/decision-trees-for-ml |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Building Decision Trees From Scratch In Python |
| AntoinePassemiers/Scythe |
11 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| Deep learning library based on the gcForest algorithm |
| shuLhan/go-mining |
10 |
|
0 |
0 |
over 7 years ago |
3 |
September 16, 2018 |
0 |
other |
Go |
| Data mining with Go. |
