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Projects in Awesome Lists tagged with boosting

A curated list of projects in awesome lists tagged with boosting .

https://github.com/fabsig/GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r

Last synced: 04 Feb 2026

https://github.com/fabsig/gpboost

Combining tree-boosting with Gaussian process and mixed effects models

artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r

Last synced: 14 May 2025

https://github.com/dmitryikh/leaves

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

boosting decision-trees go golang lightgbm machine-learning xgboost

Last synced: 06 May 2025

https://github.com/fabsig/ktboost

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

artificial-intelligence boosting gbdt gbm grabit ktboost machine-learning statistics

Last synced: 21 Aug 2025

https://github.com/max-andr/provably-robust-boosting

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

adversarial-attacks boosted-decision-stumps boosted-trees boosting provable-defense

Last synced: 27 Mar 2025

https://github.com/donny-hikari/viola-jones

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

adaboost boosting computer-vision emsembling face-detection haar-cascade machine-learning viola-jones

Last synced: 12 Apr 2025

https://github.com/anitan0925/ResFGB

Functional gradient boosting based on residual network perception

boosting classification deep-learning functional-gradient-boosting

Last synced: 23 Apr 2025

https://github.com/hbldh/skboost

MILBoost and other boosting algorithms, compatible with scikit-learn

boosting boosting-algorithms machine-learning scikit-learn

Last synced: 14 Apr 2025

https://github.com/senya-ashukha/simple-gradient-boosting

Very simple and short implementation of gradient boosting in 18 lines of code

boosting ensemble gradient-boosting machine-learning supervised-learning

Last synced: 11 Mar 2026

https://github.com/donny-hikari/adaboost

A simplified implement of Adaptive boosting.

adaboost boosting decision-stumps ensemble-learning machine-learning

Last synced: 14 Jun 2025

https://github.com/deshanadesai/greedyboost

Implementation of Modified Online Adaboost-ing algorithm

adaboost boosting learning machine online ozaboost

Last synced: 09 Aug 2025

https://github.com/samsonq/snapboost

Heterogeneous Newton Boosting Machine using decision trees and kernel ridges as learners.

boosting gradient-boosting

Last synced: 18 Jan 2026

https://github.com/brauliov/machine-learning

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

aprendizaje-automatico bagging boosting knn linear-models machine-learning machine-learning-algorithms perceptron r regularization svm trees ugr

Last synced: 13 Apr 2025

https://github.com/amirreza81/applied-data-science-course

Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

accuracy-measure boosting classification data-cleaning data-preprocessing data-science data-visualisation deep-learning dimensionality-reduction eda feature-engineering image-classification imbalanced-data kaggle-dataset machine-learning multiclass-classification pandas regression scikit-learn stroke-prediction

Last synced: 22 Mar 2025

https://github.com/sylvaincom/high-dimensional-statistics

[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy

boosting boosting-algorithms lasso-regression ridge-regression

Last synced: 25 Mar 2025

https://github.com/krishnaura45/insurelead

🧪Predictive Modeling for Insurance Cross-Selling Response 🔥 Deep-ensemble approach

ann binary-classification blending boosting ensemble-learning insurance kaggle-competition ml stacking

Last synced: 25 Jan 2026

https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques

Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.

bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql

Last synced: 10 Apr 2026

https://github.com/bluemming/lg-electronics-product-abnormality-detection-project

LG Aimers 5기 해커톤 | 온라인 10위 오프라인 9위🥇 | 이상 탐지 | 머신러닝 | 부스팅 | 앙상블

abnormal-detection boosting ensemble factory machine-learning

Last synced: 22 May 2026

https://github.com/meopbk/fast_inference_classifiers

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.

boosting bootstrap classification classifiers classifiers-comparison embedders fast-inference learning-curve mlp-classifier mlp-networks nlp nn python python3 ridge-classifier ridge-regression ridge-regression-model transformers

Last synced: 02 May 2026

https://github.com/unsaid-azizov/Blur_Artifacts_Detection

Detection of Blur Artifacts in Histopathological Whole-Slide Images of Endomyocardial Biopsies

biopsy blur-detection boosting cv medicine ml neural-networks rcnn wavelet-transform yolov7

Last synced: 28 Oct 2025

https://github.com/dhruvsrikanth/boosting-theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

adaboost binary-classification boosting boosting-algorithms gradient-boosting machine-learning multi-class-classification research-paper weak-learning weak-learning-conditions xgboost

Last synced: 17 Feb 2026

https://github.com/selcia25/machine_learning_algorithms

👩‍💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.

bagging-ensemble boosting classification kmeans-clustering linear-regression multilayer-perceptron-network naive-bayes-classifier random-forest-classifier regression-models

Last synced: 21 Jun 2026

https://github.com/sarckk/ml-models

Repository of machine learning model implementations

boosting cnn deep-learning gan machine-learning regression tree

Last synced: 02 Apr 2025

https://github.com/jelhamm/model-ensembles-boosting-in-machine-learning

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

boosting boosting-algorithms boosting-ensemble boosting-machine data-analysis database-analysis datamining datamining-algorithms jupyter-notebook machine-learning machine-learning-models machine-learning-projects matplotlib-python model-ensemble module numpy-library pandas-library python sklearn-library

Last synced: 16 May 2026

https://github.com/sarahloree/project-3--credit-card-user-churn-prediction

This is the third project I completed as part of the Advanced Machine Learning module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

bagging bagging-classifier boosting boosting-classifier cross-validation datapreprocessing eda exploratory-data-analysis hyperparameter-optimization hyperparameter-tuning random-forest random-forest-classifier sampling smote

Last synced: 24 Feb 2025

https://github.com/davityak03/ensemble-modelling

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

adaboost bagging boosting desiciontree ensemble-model logistic-regression machine-learning-algorithms python svm voting

Last synced: 21 May 2026

https://github.com/mukeshsoni9982/discord-booster-tool

This repository provides a tool to boost Discord servers and manage tokens efficiently. Ensure you have a Capmonster API key and balance to use the features effectively. 🛠️🌐

boost boosting boosts discord discord-boosting discord-boosting-bot tool

Last synced: 20 Jan 2026

https://github.com/jsleb333/quadboost

QuadBoost, a machine learning boosting algorithm based on the quadratic loss

boosting learning-algorithm machine-learning python

Last synced: 05 Oct 2025

https://github.com/imanita/seo-booster

Boost your website's SEO with the SEO Booster Tool. Simulate organic interactions and improve your Google ranking effortlessly. 🌐🚀

2025 beta booster boosting fake-google-traffic google-search maps places seo seo-booster seo-tools seotools traffi-boost traffic traffic-simulation wordpress wordpress-plugin working

Last synced: 21 Aug 2025

https://github.com/jaewonson37/data_mining

Topic: Data Analysis with Voice Dataset for Gender Recognition // Summary: Explored algorithms and found the best model that showed a 98.2% classification accuracy for a voice dataset

bagging boosting decision-tree-classifier jupyter-notebook knn-classifier logistic-regression random-forest-classifier svm-classifier svm-kernel svm-rbf voting

Last synced: 29 Mar 2025

https://github.com/bluemming/lg-electronics-b2b-customer-churn-prediction-model

LG Aimers 4기 해커톤 | 온라인 8위 오프라인 9위🥇 | 이탈 예측 | 머신러닝 | 부스팅

boosting churn-prediction machine-learning

Last synced: 25 May 2026

https://github.com/itzdineshx/mental-health-eda-ensembling-models

This project focuses on predicting mental health status (Depression) using a dataset generated from a deep learning model trained on the Depression Survey.

boosting catboost ensemble-model exploratory-data-analysis histgradient mental-health mental-health-eda xgboost-algorithm

Last synced: 16 May 2025

https://github.com/cschen1205/cs-ensembles

Ensembles method implemented in C#

anomaly-detection bagging boosting ensembles random-forest

Last synced: 24 Mar 2025

https://github.com/tejaswirupa/youth-drug-use-behavior-analysis-using-decision-trees

Predicted marijuana use behavior among youth using decision trees and ensemble methods. Achieved over 89% accuracy and identified peer influence and friend opinions as key factors.

bagging-ensemble boosting data-science decision-trees machine-learning random-forest

Last synced: 24 Feb 2026

https://github.com/chebroluharika/a-fine-windy-day-hackerearth

HackerEarth Hackathon - Windmill power prediction

boosting ensemble-machine-learning regression stacking

Last synced: 19 Apr 2026

https://github.com/abdul-aa/predicting-the-physical-form-of-polymer-samples

Predicting the physical form of polymer samples based on laboratory measurements of the particle and bulk densities of the samples.

boosting classification production xgboost

Last synced: 26 Apr 2026

https://github.com/niklas-joh/machine-learning-project-supervised-learning

Identify the most efficient machine learning model to identify potential donors. Project covers Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, Support Vector Machines and Ensemble Methods.

ai artificial-intelligence boosting decision-trees ensemble grid-search-cv gridsearchcv machine-learning ml random-forest support-vector-machines svm

Last synced: 27 Apr 2026

https://github.com/mohamedezzeldeenhassanmohamed/nlp-project

Compound NLP GUI project, First used many ML algorithmes (SVM,Logistic Regression...etc) for nlp tasks like "News Classification",seconedly used specialized NLP tools for task like "Text Summerization",Thirdly used Deep Learning for NLP task like"Machine Translation",fourthly web scraping and pre-trained models for task"Code Generation"

boosting codegenerator dl encoder-decoder fakenewsdetection hindi-english-translation knn machine-translation ml naive-bayes-classification nlp nlp-deep-learning nlp-library nlp-machine-learning pretrained-models python3 spacy-nlp svm text-summarization

Last synced: 27 Apr 2026

https://github.com/shresth26/youtube_analysis

Rank 3 notebook for Analytics Vidhya HackLive2 hackathon

analytics analytics-vidhya boosting deep-learning hackathon machine-learning python

Last synced: 03 May 2026

https://github.com/chuvalniy/tulia

Contains self-implemented Machine Learning algorithms using only numpy.

boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost

Last synced: 09 May 2026