There are 3 repositories under boosting topic.
A curated list of gradient boosting research papers with implementations.
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)
Spells for everyday living, also a book -- Models Demystified -- now available!
Python版OpenCVのTracking APIの比較サンプル
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.
A collection of boosting algorithms written in Rust 🦀
[OPEN teaching project] The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)
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.
sciblox - Easier Data Science and Machine Learning
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
A face detection program in python using Viola-Jones algorithm.
A repository of resources for understanding the concepts of machine learning/deep learning.
In depth machine learning resources
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Farm your in-game hours on Steam
Functional gradient boosting based on residual network perception
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
We got a stew going!
Ensemble Learning for Apache Spark 🌲
Simple script to iddle time on steam games without any additional costs.
An implementation of the paper "A Short Introduction to Boosting"
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms
IDAO 2022: Machine Learning Bootcamp
Entire Machine Learning Hand Written Notes
Rule covering for interpretation and boosting