Repository navigation

#

gradient-boosting

A game theoretic approach to explain the output of any machine learning model.

Jupyter Notebook
24482
3 天前
microsoft/LightGBM

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.

C++
17706
17 小时前
Jupyter Notebook
9996
23 天前

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.

C++
8602
4 小时前

Natural Gradient Boosting for Probabilistic Prediction

Python
1782
1 个月前

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Python
1034
1 年前

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

Python
737
6 年前

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Python
690
1 个月前

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

C++
611
9 天前

A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization

Rust
532
6 天前

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

Python
480
3 个月前