GitHub topics: boosting
sivkri/interactive-cancer-risk-predictor-ml-dl
Designed for reproducible research, real-time insights, and easy deployment.
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ASMRoyal/GBoost
A tool for Boosting Discord Servers
Size: 8.79 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
Language: C++ - Size: 176 MB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 599 - Forks: 50

Bin-Cao/TrAdaboost
[An Introduction to Materials Informatics, Prof. Zhang Tong-yi] The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)
Language: Python - Size: 1.38 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 45 - Forks: 9

DoubangoTelecom/compv
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
Language: C++ - Size: 323 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 198 - Forks: 44

boost-R/FDboost
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
Language: R - Size: 9.36 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 19 - Forks: 7

dev-takhi77/Solana_Raydium_Volume_Bot
🌟Solana Raydium Volume Bot: Boosting volume & ranking of the pool, 🎯 Solana Volume Bot, Raydium Volume Bot, Pumpfun Volume Bot
Language: TypeScript - Size: 54.7 KB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 234 - Forks: 63

benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Language: Python - Size: 1.48 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 1,021 - Forks: 158

Moonlys-VX/Emerald-Booster
Emerald booster for discord
Language: Python - Size: 0 Bytes - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

rmitsuboshi/miniboosts
A collection of boosting algorithms written in Rust 🦀
Language: Rust - Size: 4.12 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 52 - Forks: 5

Kazuhito00/OpenCV-Object-Tracker-Python-Sample
Python版OpenCVのTracking APIの比較サンプル
Language: Python - Size: 430 MB - Last synced at: about 11 hours ago - Pushed at: about 1 year ago - Stars: 75 - Forks: 23

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.
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sylvaincom/high-dimensional-statistics
[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy
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deshanadesai/GreedyBoost
Implementation of Modified Online Adaboost-ing algorithm
Language: Python - Size: 1.15 MB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 1

DrWarpMan/steam-hour-booster
Farm your in-game hours on Steam
Language: TypeScript - Size: 282 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 5

LKEthridge/Numerical_Methods
A Numerical Methods project from TripleTen
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Donny-Hikari/Viola-Jones
A face detection program in python using Viola-Jones algorithm.
Language: Python - Size: 224 KB - Last synced at: 8 days ago - Pushed at: almost 7 years ago - Stars: 49 - Forks: 23

Donny-Hikari/AdaBoost
A simplified implement of Adaptive boosting.
Language: Python - Size: 2.58 MB - Last synced at: 8 days ago - Pushed at: almost 7 years ago - Stars: 8 - Forks: 2

max-andr/provably-robust-boosting
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
Language: Python - Size: 7.14 MB - Last synced at: 24 days ago - Pushed at: almost 5 years ago - Stars: 50 - Forks: 12

kmock930/Drug-Consumption-Machine-Learning-analysis
This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

StarodubovAV/Machine_Learning
This is repo for classical ML projects
Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

unvercan/instance-tracking-opencv
Instance Tracking using OpenCV
Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

PaoloGiordani/SMARTboost.jl
SMARTboost (boosting of smooth symmetric regression trees)
Language: Julia - Size: 1000 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 13 - Forks: 3

franmateus/Risco-de-Credito-Modelos-Ensemble
Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble
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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.
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donlapark/XLabel
XLabel: An Explainable Data Labeling Assistant
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Galaktikkon/FAI Fork of apohllo/sztuczna-inteligencja
Fundamentals of Artificial Intelligence course exercises @ AGH University of Krakow
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danielhanchen/sciblox
sciblox - Easier Data Science and Machine Learning
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Bluemming/LG-Electronics-B2B-Customer-Churn-Prediction-Model
LG Aimers 4기 해커톤 | 온라인 8위 오프라인 9위🥇 | 이탈 예측 | 머신러닝 | 부스팅
Size: 569 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PaoloGiordani/SMARTboost
SMARTboost (boosting of smooth symmetric regression trees)
Size: 841 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 9.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

serengil/decision-trees-for-ml
Building Decision Trees From Scratch In Python
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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.
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FatimaUriarte/R
R markdown files employed in my research
Size: 893 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

benedekrozemberczki/Societe-General
Solution for ENS - Societe Generale Challenge (1st place).
Language: R - Size: 10.7 KB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 6

benedekrozemberczki/BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Language: Python - Size: 829 KB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 13

FatimaUriarte/Python
Python files employed in my research
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Bluemming/LG-Electronics-Product-Abnormality-Detection-Project
LG Aimers 5기 해커톤 | 온라인 10위 오프라인 9위🥇 | 이상 탐지 | 머신러닝 | 부스팅 | 앙상블
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juliaenriquetto/fireforecast
Machine learning predicting potential fires in Brazil.
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Vveanta/Microorganism-Classification_using_GANs_and_Deep_learning
Leverage advanced GANs and machine learning models for accurate classification of microorganism images, detailed in our Springer publication.
Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

hbldh/skboost
MILBoost and other boosting algorithms, compatible with scikit-learn
Language: Python - Size: 1.37 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 14 - Forks: 12

dmitryikh/leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Language: Go - Size: 1.22 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 432 - Forks: 72

csinva/disentangled-attribution-curves
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Language: Python - Size: 4.63 MB - Last synced at: 21 days ago - Pushed at: about 4 years ago - Stars: 27 - Forks: 4

aws-samples/aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
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camelara/Modelos-de-clasificaci-n
Modelo Boosting ML para calificación de riesgos de default en créditos personales
Language: Python - Size: 6.84 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

fabsig/KTBoost
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
Language: Python - Size: 3.46 MB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 63 - Forks: 19

anitan0925/ResFGB
Functional gradient boosting based on residual network perception
Language: Python - Size: 56.6 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 5

pierrenodet/spark-ensemble
Ensemble Learning for Apache Spark 🌲
Language: Scala - Size: 3.61 MB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 23 - Forks: 7

senya-ashukha/simple-gradient-boosting
Very simple and short implementation of gradient boosting in 18 lines of code
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Tikhon-Radkevich/Chess-Winner-Prediction
Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

estelacode/data_science
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
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Mohita21/Defaulters_DecisionTree
Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: 8 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

ArpanSM/Machine_Learning_Hackathons
Machine learning and Deep Learning Hackathon Solutions
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heonyus/Fifa-Prediction
Repo. FOM mini project "FIFA 이적료 예측 competition"
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jeus0522/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Language: Python - Size: 964 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 908 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

guillermo-avelar/dropout-predictor
A machine learning project predicting school dropouts in El Salvador.
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annarsama/FraudDetection
A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions
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samsonq/snapboost
Heterogeneous Newton Boosting Machine using decision trees and kernel ridges as learners.
Language: Python - Size: 5.86 KB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

orestasdulinskas/steel_plate_defect_prediction
The Steel Plates Faults dataset project utilizes machine learning to enhance quality control in steel manufacturing, aiming to develop models for efficient fault detection and classification. This initiative promises to improve productivity and reduce costs, ensuring the delivery of high-quality steel products to meet industry demands.
Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

aapetukhov/Spam-Messages-Detection
Project building ML & DL models to detect spam messages.
Language: Jupyter Notebook - Size: 68.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0

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."
Language: Jupyter Notebook - Size: 576 KB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

YNWA-Algo/T-Cancer-Reoccurrence-Predictor-Model
This project leverages data from 383 thyroid cancer patients over 15 years to develop a model to predict propensity for reoccurrence based on certain features. This work extends and further explores different model types to emerge with the best predictor model - and save more lives
Language: Jupyter Notebook - Size: 8.65 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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.
Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dayekb/Study
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
Language: Jupyter Notebook - Size: 1.41 GB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 18 - Forks: 13

LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
Language: Jupyter Notebook - Size: 5.8 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

selcia25/machine_learning_algorithms
👩💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.
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stazizov/Blur_Artifacts_Detection 📦
Detection of Blur Artifacts in Histopathological Whole-Slide Images of Endomyocardial Biopsies
Language: Jupyter Notebook - Size: 82.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Jecoc907/Options-Pricing-with-ML-models
Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing European call options.
Language: Jupyter Notebook - Size: 996 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dhiaabdelli12/everything-from-scratch
In this repo, I try to build algorithms and models from scratch to understand the intuition behind the concepts.
Language: Jupyter Notebook - Size: 73 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

sawadogosalif/Machine_Learning_Journey
Language: R - Size: 1.27 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

Ishank-jn/DDOS-Mitigation
This project was an attempt to use ML techniques to identify and prevent DDOS attacks.
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 12 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

jay15summer/Two-stage-TrAdaboost.R2
Language: Python - Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: almost 7 years ago - Stars: 44 - Forks: 14

uysalserkan/Machine-Learning-Applications
Linear Regression. Logistic Regression. Decision Tree. SVM. Naive Bayes. kNN. K-Means. Random Forest, Boosting etc.
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

zeeshanmulla/Machine-Learning-Algorithms
ML Algorithms notebook with dataset. Will keep on Updating this Repo.
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dmulloy2/ElytraRockets 📦
Adds boosting to elytras
Language: Java - Size: 21.5 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

dardenkyle/Credit-Card-Users-Churn-Prediction
Analyze the data and come up with a predictive model to determine if a customer will leave the credit card services or not and the reason behind it
Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Tikhon-Radkevich/VK-Techno-Test
Профильное Задание VK
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zxrby/Discord-Boost-Bot
a discord bot which boost ur server on command
Language: Go - Size: 2.27 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

gulabpatel/Machine-Learning
Regression, Classification, Clustering, Dimension-reduction, Anomaly detection
Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 2

storytellingengineer/Bagging_vs_Boosting
Complete explanation of Bagging and Boosting with practical implementation
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yuvalofek/py_xgboost
Python implementation of XGBoost trees
Language: Jupyter Notebook - Size: 636 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

yashrajkakkad/song-popularity-prediction
Song Popularity Prediction Using Machine Learning Algorithms
Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 5

fabtdt/hit_song_predictor
Hit song predictor
Size: 961 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Arjun-Mota/credit-card-fraud-prediction
Prediction of credit card fraudsters from over 280000 european credit transactions
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
Language: Jupyter Notebook - Size: 253 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Honey28Git/Machine-Learning
The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

therealowen/Boston-House-Price-Prediction
Boston House Price Prediction, final project of Big Data Machine Learning course at Johns Hopkins University
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Trupti2011/FlightPrice-Prediction
Flight Price Prediction using Advance Machine learning
Language: Jupyter Notebook - Size: 819 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

norbert-acedanski/vinted-view-booster
Python selenium script, that allows to boost views of offers of Vinted members.
Language: Python - Size: 19.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

leffff/stackboost
Open source gradient boosting library
Language: Python - Size: 101 KB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

Neemias-tech/R-studies
This is a R repository of studies that I made on some data sets. There are linear models, predicition models (boosting - bagging - RandomFlorest), clustering and dendograms.
Language: HTML - Size: 1.59 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

chuvalniy/Tulia
Contains self-implemented Machine Learning algorithms using only numpy.
Language: Python - Size: 3.33 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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
Language: Jupyter Notebook - Size: 609 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Gaurav0502/retina-multilabel-classification
Retina Disease Detection using Ensemble methods for Multilabel Classification
Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

oscarjuly23/DataMining
Introduction to Data Mining.
Language: Python - Size: 267 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ohmthanap/CS559_Machine-Learning-Fundamentals-Applications
Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

lamia-datalover/Machine_Learning_exercises-
This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !
Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

joeliang0520/FinanceStatus
classification model to classify survey responses into one of the financial health categories.
Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

farhadmohmand66/sentimentAnalysisUnisgML
Sentiment analysis using Machine Learning and deployment of model
Language: Jupyter Notebook - Size: 219 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
