https://github.com/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.

decision-forest decision-trees ensemble-model kaggle machine-learning ml regularized-greedy-forest rgf

Last synced: 21 Oct 2025

https://github.com/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.

decision-forest decision-trees ensemble-model kaggle machine-learning ml regularized-greedy-forest rgf

Last synced: 26 Mar 2025

https://github.com/zhiningliu1998/imbalanced-ensemble

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

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 15 May 2025

https://github.com/ZhiningLiu1998/imbalanced-ensemble

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

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 11 Apr 2025

https://github.com/titu1994/snapshot-ensembles

Snapshot Ensemble in Keras

deep-learning ensemble-model keras paper

Last synced: 10 Apr 2025

https://github.com/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

class-imbalance classification ensemble ensemble-learning ensemble-methods ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning machine-learning pypi python3

Last synced: 05 Apr 2025

https://github.com/minerva-ml/open-solution-toxic-comments

Open solution to the Toxic Comment Classification Challenge

challenge competition data-science deep-learning ensemble-model kaggle kaggle-competition machine-learning neptune nlp pipeline prediction python python3

Last synced: 19 Jul 2025

https://github.com/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

class-imbalance ensemble ensemble-machine-learning ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning mesa meta-learning-algorithms meta-sampler meta-training

Last synced: 01 Apr 2026

https://github.com/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

class-imbalance ensemble ensemble-machine-learning ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning mesa meta-learning-algorithms meta-sampler meta-training

Last synced: 11 Apr 2025

https://github.com/tlverse/sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

data-science ensemble-learning ensemble-model machine-learning model-selection r r-package regression stacking statistics

Last synced: 19 Feb 2026

https://github.com/google-research/spade_anomaly_detection

Semi-supervised anomaly detection method

anomaly-detection-algorithm ensemble-model one-class-classification semi-supervised

Last synced: 09 Apr 2025

https://github.com/arkanivasarkar/ecg-anomaly-detection-using-deep-learning

Ensemble RNN based neural network for ECG anomaly detection

bilstm ecg-classification ensemble-model gru gui-application lstm rnn time-series

Last synced: 05 Mar 2026

https://github.com/csinva/disentangled-attribution-curves

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

ai artificial-intelligence boosting ensemble-model explainable-ai feature-engineering feature-importance interpretability machine-learning ml python random-forest random-forests scikit-learn statistics stats

Last synced: 05 May 2025

https://github.com/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.

classifiers ensemble-model fakenewsdetection machine-learning news-classification scikit-learn text-mining textclassification vectorization vectorizers

Last synced: 13 Mar 2026

https://github.com/nusnlp/greco

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

deep-learning ensemble-model gec grammatical-error-correction pytorch quality-estimation re-ranking

Last synced: 23 Apr 2025

https://github.com/deveshsangwan/skin-lesions-classification

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

convolutional-neural-networks deep-learning ensemble-learning ensemble-machine-learning ensemble-model ham10000 harvard-dataverse inception inception-v3 machine-learning resnet resnet-152 skin-cancer skin-lesion-classification skin-lesions vgg vgg19 xception xception-model

Last synced: 01 Aug 2025

https://github.com/xhan97/inne

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

anomaly-detection ensemble-model outlier-detection sklearn-compatible sklearn-estimator unsupervised-learning

Last synced: 16 Aug 2025

https://github.com/arasgungore/multiclass-classification-using-ensemble-learning

Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.

bayessearchcv categorical-cross-entropy convolutional-neural-network convolutional-neural-networks decision-trees deep-learning deep-neural-networks ensemble-classifier ensemble-deep-learning ensemble-learning ensemble-machine-learning ensemble-model financial-machine-learning jupyter-notebook kfold-cross-validation lightgbm machine-learning machine-learning-algorithms manifold-learning multiclass-classification

Last synced: 05 Oct 2025

https://github.com/shcheklein/ensemble-dvc-template

Skeleton for DVC pipeline to evaluate multiple models together

data-science dvc dvc-pipeline ensemble ensemble-machine-learning ensemble-model machine-learning pipeline

Last synced: 11 Apr 2025

https://github.com/niklasvonm/ensemblelearning

Python package for optimal aggregation of bagged ensemble models

ensemble-model machine-learning

Last synced: 22 Mar 2025

https://github.com/apurva-modi/flower-classification

In this competition, we’re challenged to build a machine learning model that identifies the type of flowers in a dataset of images (for simplicity, we’re sticking to just over 100 types).

efficientnet-keras ensemble-model flower-classification kaggle-competition machine-learning multiclass-classification tensorflow tpu transfer-learning

Last synced: 15 May 2026

https://github.com/fractalego/mixture-of-softmaxes

Short experiments on the Mixture of Softmax technique

ensemble-model mixture-of-context mixture-of-softmax rnn tensorflow

Last synced: 17 Apr 2026

https://github.com/carpentries-incubator/machine-learning-trees-python

Introduction to tree models with Python

bagging boosting boostrapping decision-tree decision-trees english ensemble-model lesson machine-learning pre-alpha prediction python tree-models trees

Last synced: 02 Sep 2025

https://github.com/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.

adaboost catboost colab-notebook diabetes diabetes-prediction ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model gradient-boosting machine-learning python stacking-classifier voting-classifier xgboost

Last synced: 18 Apr 2026

https://github.com/errhythm/nyctaxifarepred-extended

NYC Taxi Fare Prediction with 7 models (Linear Regression, Random Forest, XGBoost, LightGBM, CatBoost, KNN, and Decision Tree) The models used range from simple linear regression to more complex ensemble methods such as boosting algorithms. The aim was to improve prediction accuracy and handle categorical features efficiently.

catboost decision-tree ensemble-model knn lightgbm nyc-taxi-dataset regression xgboost

Last synced: 29 Apr 2025

https://github.com/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.

diabetes diabetes-prediction ensemble-classifier ensemble-learning ensemble-model flask flask-application logistic-regression machine-learning python random-forest support-vector-machines svm voting-classifier vscode

Last synced: 20 May 2026

https://github.com/souvikmajumder26/ieee-ecg-ensemble-xgboost

👨‍💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.

data-science ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model machine-learning matplotlib numpy pandas python python3 random-forest scikit-learn scikit-learn-python scikitlearn-machine-learning support-vector-machine svm svm-classifier svm-model xgboost

Last synced: 11 Apr 2026

https://github.com/viktoriaszabo-sz/thesis-project-ovarian-condition-classification

Medical Image Classification of Various Ovarian Conditions

cnn convolutional-neural-networks deep-learning ensemble-model image-classification medical-image-classification medical-imaging pytorch ultrasound

Last synced: 30 Jun 2025

https://github.com/lucidfrontier45/silva

Tiny inference engine for tree ensemble models in Rust

ensemble-model lightgbm machine-learning rust xgboost

Last synced: 11 Jan 2026

https://github.com/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).

area-under-curve bagging boosting decision-tree ensemble-model gradient-boosting knn machine-learning ml-evaluation ml-pipeline mlp random-forest receiver-operating-characteristic semi-supervised-learning shap-analysis supervised-learning svm unsupervised-learning xai

Last synced: 29 Jul 2025

https://github.com/yooodleee/chimaera

ai algorithms artificial-intelligence ensemble-model neural-networks reinforcement-learning

Last synced: 05 Apr 2025

https://github.com/asim-2000/machine-learning-projects-in-python

ensemble-model machine-learning matplotlib numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/masoudhashemi/satreeverify

Verifying decision tree ensembles using propositional satisfiability

adversarial-attacks ensemble-model machine-learning propositional-logic sat-solver

Last synced: 24 Mar 2025

https://github.com/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.

data-analysis data-science ensemble-model pandas scikitlearn-machine-learning

Last synced: 15 Apr 2026

https://github.com/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.

ai artificial-intelligence ensemble-model machine-learning ml streamlit

Last synced: 20 Apr 2026

https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system

ML project based on intrusion detection system trained dataset

bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm

Last synced: 04 Mar 2026

https://github.com/scalable-design-participation-lab/drawing-participation-reblocking

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

building-footprints computer-vision ensemble-model essential-services generative-ai machine-learning parcel-outlines reblocking

Last synced: 03 Jun 2026

https://github.com/unidata/awips2-gsd

GSD AWIPS Plugins

awips ensemble-model forecast-model forecasting gsd java meteorology spring weather

Last synced: 24 Apr 2026

https://github.com/sarodyatawatta/hintrl

Hint assisted reinforcement learning

bipedalwalkerhardcore ensemble-model pets radio-astronomy reinforcement-learning sagecal soft-actor-critic

Last synced: 12 May 2026

https://github.com/duoan/machine-learning-notebook

A notebook repository for tracking learning machine learning notebook.

data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost

Last synced: 18 Jun 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/srivathsanp23/ensemblemethod_smartdiseasepredictionsystem

An Ensemble Method to predict the disease

ensemble-model f1-score gridsearchcv logistic-regression machine-learning pickle precision random-forest-classifier recall smote-oversampler streamlit svm-classifier visualisation

Last synced: 28 Apr 2026

https://github.com/davityak03/random-forest-ensemble-technique

categorical-encoding ensemble-model feature-selection machine-learning random-forest

Last synced: 05 May 2026

https://github.com/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.

classification decision-tree ensemble-model gradient-boosting logistic-regression machine-learning naivebayes random-forest xgboost-classifier

Last synced: 29 Oct 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/ruoheng-du/etfs-trading-strategy

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

ensemble-model etfs machine-learning-models trading-strategies

Last synced: 14 Oct 2025

https://github.com/v41bh4vr4jput/churm-prediction

A machine learning-powered dashboard for predicting customer churn. This project covers everything from data preprocessing to model building, evaluation, and a Streamlit-based dashboard for visual insights and predictions.

churn-prediction ensemble-model logistic-regression random-forest streamlit xgboost

Last synced: 26 Jun 2025

https://github.com/fatimaafzaal/diabetes-prediction-project-using-voting-classifier

This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes. It employs a Voting Classifier, which combines the predictions of multiple machine learning models, to improve prediction accuracy.

diabetes diabetes-prediction ensemble-learning ensemble-model jupyter-notebook machine-learning machine-learning-algorithms python voting votingclassifier

Last synced: 16 Apr 2026

https://github.com/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.

ensemble-model evaluation-metrics feature-engineering hyperparameter-tuning kaggle-competition machine-learning python3

Last synced: 25 Jun 2025

https://github.com/04bhavyaa/movie-genre-prediction

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

ensemble-model fine-tuning genre-prediction lemmatization linear-svc logistic-regression minmaxscaling nltk-library streamlit voting-classifier

Last synced: 11 May 2026

https://github.com/somjit101/nlp-casestudy-personalized-cancer-diagnosis

In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.

cancer-diagnosis ensemble-learning ensemble-model hyperparameter-tuning k-nearest-neighbours linear-svm logistic-regression majority-voting model-calibration multinomial-naive-bayes naive-bayes-classifier natural-language-processing nlp nlp-machine-learning random-forest-classifier response-coding stacking-ensemble svm-classifier text-processing

Last synced: 19 Jun 2026

https://github.com/fatimaafzaal/laptop_price_prediction

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

ensemble-learning ensemble-model gradient-boosting laptop-price-prediction price-prediction random-forest regression-models regresssion

Last synced: 16 Jun 2025

https://github.com/tlatkowski/attention-ensemble-gene-expression

End-to-end ensemble model that integrates several neural networks trained on distinct features with attention mechanism.

attention attention-mechanism deep-learning distinctive-features ensemble-model gene-expression

Last synced: 02 Feb 2026

https://github.com/sulcer/intelligent-solutions-with-machine-learning

Implementation of different machine learning algorithms and methods

classification convolutional-neural-networks data-science ensemble-model machine-learning ml-api neural-networks recurrent-neural-networks regression

Last synced: 12 Jun 2026

https://github.com/fatimaafzaal/diabetes-prediction-project-using-random-forest

This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes using Random Forest Algorithm

colab-notebook ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model machine-learning machine-learning-algorithms python random-forest

Last synced: 25 Apr 2026

https://github.com/aashish22bansal/ite1015-soft-computing-project-skin-cancer-detection

Skin Cancer Detection Using Transfer Learning and Ensemble Modeling

cnn deep-learning ensemble-model keras-tensorflow machine-learning machine-learning-algorithms transfer-learning

Last synced: 06 Jun 2026

https://github.com/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."

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

Last synced: 30 Apr 2026

https://github.com/sendyvrga/distracted-driver-detection

🚗 Detect driver distractions in images for improved road safety by predicting behavior like texting, talking, and reaching behind the wheel.

classification cnn-keras computer-vision deep-learning detection distracted-driving distracted-driving-detection ensemble-model human-action-recognition image-classification kaggle object-detection playsound pyqt5 python pytorch tired yolov5-deepsort

Last synced: 30 Apr 2026

https://github.com/arindal1/ipl-score-pred

IPL Score Prediction model using Deep Learning and Ensemble techniques.

deep-learning ensemble-model indian-premier-leauge machine-learning neural-network

Last synced: 09 Apr 2025

https://github.com/dmazilkin/ml-randomforest

Random Forest from scratch

ensemble-model random-forest regression

Last synced: 03 Sep 2025

https://github.com/jonasaacampos/ensemble-learning-em-python

Ensemble learning em python para classificação de texto em nótícias

algorithms-and-data-structures data-science ensemble-learning ensemble-model python

Last synced: 10 Jun 2026

https://github.com/sudarsann27/basic_machine_learning_algorithms

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

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 20 Jan 2026

https://github.com/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.

classification-model ensemble-model fastapi-app mlflow

Last synced: 02 Apr 2025

https://github.com/filsan-musa/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.

data-preprocessing decision-trees ensemble-model feature-engineering gradient-boosting-classifier gridsearchcv logistic-regression random-forest-classifier randomsearchcv

Last synced: 23 Mar 2026

https://github.com/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.

cifar10-classification cnn-classification computervision ensemble-learning ensemble-machine-learning ensemble-model imageclassification machine-learning machine-learning-algorithms python rnn-model transfer-learning vgg16 vgg16-model

Last synced: 04 May 2026