A curated list of gradient boosting research papers with implementations.

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

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Building Decision Trees From Scratch In Python

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Python版OpenCVのTracking APIのサンプルです。DaSiamRPNアルゴリズムまで対応しています。

sciblox - Easier Data Science and Machine Learning

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

Error support for **idlesteam.com**

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.

In depth machine learning resources

A face detection program in python using Viola-Jones algorithm.

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

A repository of resources for understanding the concepts of machine learning/deep learning. 

The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.