OpenCV-Object-Tracker-Python-Sample

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

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

Building Decision Trees From Scratch In Python

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

Visual Object Tracking algorithms. Hold on! There is a lot to come

sciblox - Easier Data Science and Machine Learning

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"