GitHub topics: ensemble-model

Repositories

ChandanaThummala/Explainable-AI-for-Breast-Cancer-Prediction

Breast Cancer Classification with Explainable AI (SHAP, LIME, PDP)

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daluchkin/divvy_bike_sharing_forecast

This project analyzes Divvy bike-sharing data in Chicago to forecast ride demand, assess the impact of weather and public holidays, and provide insights for optimizing operations and service delivery.

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gayatri1505/Solana-Memcoin-Prediction-Using-Machine-Learning

This project predicts whether a memcoin launched on Solana’s Pump Fun platform will reach 85 SOL liquidity, using only the first 100 blocks of on-chain data. It features custom feature engineering, a stacking ensemble model, and optimized log loss performance.

Language: Python - Size: 15.6 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

utkuatasoy/Face-Expression-Recognition

This project implements a deep learning-based facial expression recognition system using the FER2013 dataset, addressing class imbalance through sampling strategies, enhancing accuracy with MTCNN-based face alignment, and enabling real-time inference via ONNX models.

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ZhiningLiu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

Language: Python - Size: 16.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 358 - Forks: 52

google-research/spade_anomaly_detection

Semi-supervised anomaly detection method

Language: Python - Size: 7.35 MB - Last synced at: about 12 hours ago - Pushed at: 3 months ago - Stars: 45 - Forks: 4

katerinaharana/Team-2-Project

Predicting the City Cycle Fuel Consumption in MPG of a Car. A Classification Problem

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tlverse/sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Language: R - Size: 11.2 MB - Last synced at: 15 days ago - Pushed at: 6 months ago - Stars: 102 - Forks: 43

ZhiningLiu1998/self-paced-ensemble

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Language: Python - Size: 1.44 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 258 - Forks: 50

NMBU-Data-Science/RENT

Feature selection method based on repeated elastic net.

Language: Python - Size: 25 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 6

VishnuVardhanAI/Wikipedia-Web-Traffic-Forecasting

Predicting Wikipedia traffic with a hybrid SARIMA–LSTM approach for smarter capacity planning.

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shreyasskrishna/Diagnosis_of_Diabetic_Retinopathy

This project develops an advanced retinal image classification system for early Diabetic Retinopathy detection using ML and DL. It leverages CNN for feature extraction, SVM for classification, and ensemble learning for accuracy. A Gradio-based UI enables real-time diagnostics, ensuring quick and reliable results.

Size: 36 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

san089/Big_Data_Project

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

Language: Python - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 19 - Forks: 12

arkanivasarkar/ECG-Anomaly-Detection-Using-Deep-Learning

Ensemble RNN based neural network for ECG anomaly detection

Language: MATLAB - Size: 124 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 42 - Forks: 7

deveshsangwan/Skin-lesions-classification

This repo includes classifier trained to distinct 7 type of skin lesions

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ZhiningLiu1998/mesa

[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

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titu1994/Snapshot-Ensembles

Snapshot Ensemble in Keras

Language: Python - Size: 213 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 308 - Forks: 75

Nixonmainali/COVID-19-Detection-from-Chest-X-Rays

For the Semester-Final Team Project, my friends and I have built a CNN model to classify chest X-ray images into Normal, COVID-19, and Pneumonia (Viral/Bacterial) cases.

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icai-uma/SpaMeCo_EllipseFit

Ensemble ellipse fitting by spatial median consens

Language: MATLAB - Size: 1000 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

Samarth4023/Shell-Internship-1

🌱 Crop & Fertilizer Recommendation System using Machine Learning This project is developed as part of my AICTE-Shell Internship and aims to optimize agriculture by leveraging Machine Learning (ML) and Artificial Intelligence (AI). The system provides real-time recommendations for crop selection and fertilizer application.

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kolton-musgrove/honors-thesis

An exploration of ensemble machine learning models for completion of the Liberty University Honors Program

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hubtru/LTBoost

Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)

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RGF-team/rgf

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Language: C++ - Size: 5.25 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 381 - Forks: 58

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).

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jorge-martinez-gil/sesige

Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution

Language: Python - Size: 75.2 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

nusnlp/greco

The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.

Language: Macaulay2 - Size: 7.86 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 0

04bhavyaa/movie-genre-prediction

This project implements preprocessing, feature engineering, and multiple machine learning models to build a robust genre classification system.

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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.

Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ruoheng-du/ETFs-trading-strategy

Development and Evaluation of a Long-only Day Trading Strategy for ETFs | Fall 2024

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xhan97/inne

A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles

Language: Python - Size: 553 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 6

masoudhashemi/SATreeVerify

Verifying decision tree ensembles using propositional satisfiability

Language: Python - Size: 336 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

federicocaroli/ANN-DL-Challenges

Solutions and code for Artificial Neural Networks and Deep Learning challenges at the Polytechnic University of Milan. Includes binary classification and time series forecasting tasks, with model implementations, dataset preprocessing, and ensemble techniques.

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Kopika0208/Multi-Class-Abnormality-Detection-in-Video-Capsule-Endoscopy-Images

Video capsule endoscopy (VCE) is an important innovation for gastroenterology and enables minimally invasive GI investigations. But VCE creates enormous amounts of data. The proposed model uses CNN architecture and ensemble learning to address this issue.

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yooodleee/chimaera

Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

mike-gimelfarb/bayesian-reward-shaping

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

Language: Python - Size: 1.89 MB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 23 - Forks: 5

Milanka00/Anxiety-level-classification

Multi-class classification of anxiety levels based on demographic, clinical and behavioral data.

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mike-gimelfarb/bayesian-epsilon-greedy

Public repository for a paper in UAI 2019 describing adaptive epsilon-greedy exploration using Bayesian ensembles for deep reinforcement learning.

Language: Python - Size: 3.36 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

munavarhs/Patient-Readmission-Analysis

Hospital readmissions, particularly within 30 days of discharge, are a significant issue in healthcare. This project leverages machine learning to predict the likelihood of readmissions using patient data, enabling healthcare providers to target high-risk patients and improve outcomes.

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muhammadravi251001/predicting-earthquake-damage

Code for predicting the severity of earthquake impact on buildings through various experiments, utilizing models like Logistic Regression, SVM, XGBoost, Neural Networks, and Random Classifier. It employs Grid Search and Randomized Search for optimal configuration and relies on feature correlations as primary predictors, adjustable with a threshold.

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nnthaian/prediction-using-svm-ensemble

Develop a cancer prediction model using SVM and model ensemble techniques. Compare its performance to other classifiers (Logistic Regression, Naive Bayes, Decision Tree, Random Forest).

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Jatin-Mehra119/Loan-Approval

This repository contains all the scripts used for the Loan Approval Kaggle competition. I utilized MLflow to track experiments, save models, and identify the best-performing model based on cross-validation scores. FastAPI APP for making predictions.

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johnmartinsson/few-shot-learning-bioacoustics

The official implementation of the method in the paper "Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks"

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fatimaAfzaal/Multiple-Ensemble-models-Diabetes-Prediction-Project-

This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.

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fatimaAfzaal/Diabetes-Prediction-Web-App

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

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scalable-design-participation-lab/drawing-participation-reblocking

Reference Repository for the Drawing Participation: Reblocking a Million Neighborhoods Project

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Arsan24/Data-Science-Bootcamp

All asignment from data science bootcamp by Dibimbing.id

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sefaerkan/Mobile-Price-Prediction

In this case, we will explore the factors that affect cell phone prices and predict new samples based on the best models.

Language: Python - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 5 days ago - Pushed at: about 4 years ago - Stars: 27 - Forks: 4

biodatlab/icip-challenge-2022

Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 (3rd place solution)

Language: Python - Size: 8.67 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

DegaregeN/week8-9

This project aims to detect fraudulent transactions using machine learning techniques. It includes data preprocessing, feature engineering, model training, explainability, and deployment using Flask and Dash.

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fractalego/mixture-of-softmaxes

Short experiments on the Mixture of Softmax technique

Language: Python - Size: 2.04 MB - Last synced at: 5 days ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

FanChiMao/Competition-2024-PyTorch-Tracking

AICUP 2024 Cross-camera Multiple-object tracking

Language: Python - Size: 29.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 14 - Forks: 0

YashsTiwari/Youth-Problematic-Internet-Usage-Prediction

This project focuses on predicting problematic internet usage among children & adolescents, utilising physical activity & fitness data. It addresses concerns of excessive internet use in youth, providing insights for parents, educators, & health professionals. The final model effectively assesses the severity of internet usage problems accurately.

Language: Jupyter Notebook - Size: 131 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SarodYatawatta/hintRL

Hint assisted reinforcement learning

Language: Python - Size: 309 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

SrivathsanP23/EnsembleMethod_SmartDiseasePredictionSystem

An Ensemble Method to predict the disease

Language: Jupyter Notebook - Size: 748 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

NiklasvonM/EnsembleLearning

Python package for optimal aggregation of bagged ensemble models

Language: Python - Size: 78.1 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

papermath/Machine_Learning

A short repository for my machine learning skills on real datasets

Language: Python - Size: 8.74 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

filsan95/Project-Twitter_Bot_Detection

Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

panubhav2001/bengaluru-house-price

Developed a Bengaluru house price prediction project using Python libraries like Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. Implemented data cleaning, feature engineering, and model evaluation with techniques such as median imputation, outlier removal, and Random Forest modeling (R-square: 0.72, MAPE: 0.18). Deployed the model via Flask

Language: Jupyter Notebook - Size: 40 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Sudarsann27/Basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

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annarsama/FraudDetection

A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions

Language: Jupyter Notebook - Size: 522 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AlirezaMorsali/ENRP

Ensemble Neural Representation Networks

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 2

yunusbagriacik/sales-analysis-and-linear-predictive-model

In this repository, sales analysis of 5-year-period is analysed. Lots of linear regression model have been applied. Finally, ensemble method is applied.

Language: Jupyter Notebook - Size: 678 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Jatin-Mehra119/Bike-Rentals-Dataset

This repository focuses on optimizing bike rental availability during peak hours and days using machine learning techniques. Leveraging publicly available data from the UCI Machine Learning Repository, it includes scripts for data preprocessing, model training, and visualization, along with detailed observations and results.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

jElhamm/Model-Ensembles-Bagging-In-Machine-Learning

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

Language: Jupyter Notebook - Size: 702 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mavewrik/breast-cancer-svm-ensemble

Machine Learning for Biomedical Applications course project - IIIT Delhi BIO542

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

anopsy/Equity_in_Healthcare

Predicitng a timely diagnosis in metastatic cancer patients. Data cleaning, feature engineering and hyperparams tuning of classification model ensemble

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

fatimaAfzaal/Laptop_price_prediction

A machine learning project for predicting laptop prices using Gradient Boosting and Random Forest regressors.

Language: Jupyter Notebook - Size: 472 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

arindal1/IPL-score-pred

IPL Score Prediction model using Deep Learning and Ensemble techniques.

Language: Jupyter Notebook - Size: 7.06 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

codevibess/parallel-stacking-classifier

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

Language: Python - Size: 132 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

shcheklein/ensemble-dvc-template

Skeleton for DVC pipeline to evaluate multiple models together

Language: Python - Size: 37.1 KB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

younggon2/Research-Segmentation-Lung-CXR-COVID19

Deep learning model for segmentation of lung in CXR

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

Kritika97Gaikwad/AI-Generated-Text-Detection

Developed a machine learning model using scikit-learn, implementing ensemble techniques, PCA, correlation analysis, and extensive feature engineering. The goal was to classify documents as either human-generated (0) or AI-generated (1) based on document embeddings, word count, and punctuation.

Language: Jupyter Notebook - Size: 40.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

minerva-ml/open-solution-toxic-comments 📦

Open solution to the Toxic Comment Classification Challenge

Language: Python - Size: 2.51 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 153 - Forks: 58

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: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Davityak03/Random-Forest-Ensemble-Technique

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FrancescoFarinola/Anemia_Estimation

Bachelor's Thesis : Estimation of Anemia from nailbed, conjunctiva and fingertip images with an Ensemble Model and aggregating with the Borda Count Method. Deployment with standalone PyQT interface and Flask WebApp

Language: Python - Size: 12.1 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SreecharanV/Improving-CIFAR-10-Image-Classification-with-Diverse-Architectures-Using-Ensemble-Learning

This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0