decision-trees-for-ml

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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

Combining tree-boosting with Gaussian process and mixed effects models

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Machine Learning University: Decision Trees and Ensemble Methods

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Python版OpenCVのTracking APIの比較サンプル

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]