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Projects in Awesome Lists tagged with ensemble-machine-learning

A curated list of projects in awesome lists tagged with ensemble-machine-learning .

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/desh2608/dover-lap

Python package for combining diarization system outputs.

diarization dover-lap ensemble-machine-learning

Last synced: 17 Mar 2025

https://github.com/Dan-Boat/PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

deep-learning downscaling ensemble-machine-learning machine-learning precipitation sckit-learn tensorflow2

Last synced: 20 Jul 2025

https://github.com/junchenzhi/Awesome-LLM-Ensemble

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

ensemble ensemble-learning ensemble-machine-learning ensemble-models ensemble-prediction large-language-models llm-agents llm-ensemble llms multi-agent-systems multi-llms

Last synced: 08 May 2025

https://github.com/ashishpatel26/most-used-ml-packages

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

ensemble-learning ensemble-machine-learning nlp-machine-learning pandas pandas-tutorial pytorch pytorch-tutorial tensorflow tensorflow-tutorials word-embeddings

Last synced: 06 Sep 2025

https://github.com/raghavagps/toxinpred3

An improved method for predicting toxicity of the peptides and designing of non-toxic peptides

bioinformatics ensemble-machine-learning machine-learning-algorithms motif-prediction peptide-therapeutics toxicity-prediction

Last synced: 31 Oct 2025

https://github.com/ramanks19/aiml-projects

Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning

computer-vision data-science ensemble-machine-learning greatlearning neural-networks nlp-machine-learning recommendation-system supervised-learning unsupervised-learning

Last synced: 03 Jan 2026

https://github.com/heshanera/lstmcnnet

A framework for time-series anomaly detection. The framework consists a prediction module and a detection module. Prediction module is based on LSTM and CNN. DTW is used in detection module .

anomalies anomaly-detection cnn dynamic-time-warping ensemble-machine-learning lstm time-series

Last synced: 10 Sep 2025

https://github.com/moindalvs/resume_classification

Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention

classification classification-algorithm data-science docx docx2txt ensemble-machine-learning pdfplumber resume-app resume-parser text-analysis text-classification text-mining text-processing textract

Last synced: 24 Apr 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/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/siam29/credit-card-fraud-detection-in-real-time

This project delivers a fast and efficient fraud detection methodology, providing predictions in under a second, emphasizing the importance of both high performance and quick response times.

ensemble-machine-learning feature-selection genetic-algorithm machine-learning matplotlib pandas pca scikit-learn

Last synced: 03 May 2026

https://github.com/gallo13/pattern-rec-neural-networks-image-classification_2

Image Classification with Convolutional Neural Networks: Imablance, Performance Evaluation, Ensembling (Final 2)

cnn convolutional-neural-networks ensemble-machine-learning image-classification image-processing jupyter-notebook keras tensorflow

Last synced: 10 May 2026

https://github.com/mariomarroquim/ml-vxm

An elegant virtual crossmatch tool based on machine learning

ensemble-machine-learning immunoinformatics pycaret python3 transplant

Last synced: 11 Nov 2025

https://github.com/mlr-org/mlr3ensemble

mlr3 extension package for ensemble machine learning

ensemble-machine-learning mlr3

Last synced: 25 Oct 2025

https://github.com/aashish22bansal/skin-cancer-detection-using-transfer-learning-and-ensemble-modelling

Original Repository: https://github.com/aashish22bansal/ITE1015-Soft-Computing-Project-Skin-Cancer-Detection

convolutional-neural-networks deep-neural-networks ensemble-machine-learning skin-cancer transfer-learning

Last synced: 09 Oct 2025

https://github.com/letsdoitbycode/doshamitra

This project explores the fusion of Ayurveda and machine learning to classify human Prakriti (body constitution) types into Vata, Pitta, and Kapha. The project performed excellent to Random Forest-based ensemble model to achieve high accuracy, providing a scientific method for personalized health insights based on Ayurveda.

aurveda ensemble-machine-learning prakriti random-forest-classifier tridosha-features

Last synced: 08 Mar 2026

https://github.com/junayed-hasan/llm-aggregated-ensemble-clinical-outcomes

Implementation of a novel method using aggregated ensembles of large language models to analyze long clinical texts. Addresses input length limitations and data source diversity in clinical outcome prediction. Includes experiments on mortality prediction and length of stay estimation using MIMIC-III data.

clinical-decision-support ensemble-machine-learning large-language-models pytorch text-aggregation text-classification

Last synced: 07 May 2026

https://github.com/farzanmrz/ml-stockmovement-prediction

📈 Stock Movement Study 🚀 Time-series forecasting of S&P500 trends using machine learning models and ensembling techniques, highlighting interpretable approaches in financial prediction.

ensemble-machine-learning jupyter-notebooks python research-project stock-movement-forecasting time-series-prediction

Last synced: 02 May 2026

https://github.com/kashyapdevesh/weather_data_preprocessing

Machine Learning pipeline ipynb for Alibaba Global AI Challenge,2021. Secured global rank 2

ensemble-machine-learning ipynb-jupyter-notebook machinelearning pipelines python3

Last synced: 06 Mar 2026

https://github.com/snigdho8869/diabetes-prediction-using-ml-dl

This repository contains machine learning and deep learning models for predicting the onset of diabetes in patients. The models used include Logistic Regression, SVM, Random Forest, Ensemble Learning, Adaptive Boosting, and Deep Neural Networks. The performance of the models is compared, and the best performing model is identified.

adaboost boosting-algorithms deep-neural-networks dl ensemble-classifier ensemble-learning ensemble-machine-learning gradient-boosting keras-tensorflow logistic-regression machine-learning ml random-forest random-forest-classifier support-vector-machine svm voting-classifier

Last synced: 18 Jun 2025

https://github.com/anandanraju/credit_card_fraud_detection_project

The aim of this project is to predict whether a credit card transaction is fraudulent or not, based on the transaction amount, time and other transaction related data.It aims to track down credit card transaction data, which is done by detecting anomalies in the transaction data.

confusion-matrix confusion-matrix-heatmap credit-card-fraud-detection ensemble-machine-learning fraud-detection random-forest-classifier scikitlearn-machine-learning

Last synced: 24 Jun 2025

https://github.com/annaanastasy/mental-health-eda-ml

A data-driven project analyzing factors influencing mental health and building a predictive model for depression using advanced machine learning techniques.

catboost-classifier ensemble-machine-learning exploratory-data-analysis feature-engineering machine-learning mental-health xgboost-classifier

Last synced: 29 Mar 2025

https://github.com/annaanastasy/dibetes-prediction-logistic-knn-cat

Predicting diabetes using machine learning techniques. Starting with Logistic Regression as a baseline, it progresses to advanced models like Gradient Boosting.

catboost-classifier classification diabetes-prediction ensemble-machine-learning exploratory-data-analysis knn-classification logistic-regression visualization-tools

Last synced: 02 Aug 2025

https://github.com/AnnaAnastasy/Mental-Health-EDA-ML

A data-driven project analyzing factors influencing mental health and building a predictive model for depression using advanced machine learning techniques.

catboost-classifier ensemble-machine-learning exploratory-data-analysis feature-engineering machine-learning mental-health xgboost-classifier

Last synced: 05 Aug 2025

https://github.com/ajayarunachalam/metaensembler

Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated

automation classification ensemble-machine-learning ensemble-methods generalization-error heterogenous meta-learning predictive-modeling regression stacked-ensembles

Last synced: 15 May 2025

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/nataliabeltranarg/deeplearning-medical-predictions

Utilizing predictive models (NN,Ensembles,KNN & SVM) to predict patient length of stay or mortality in the ICU.

ensemble-machine-learning k-nearest-neighbor-classifier neural-networks predictive-modeling python support-vector-machines

Last synced: 11 Apr 2026

https://github.com/manjit-baishya-datascience/pakistan-house-price-eda

This project has effectively analyzed house price trends and prediction using machine learning, emphasizing data cleaning, exploratory analysis, and regression modeling to gain insights into dataset patterns and structures.

data-science-projects ensemble-machine-learning machine-learning-algorithms regression visualization

Last synced: 28 May 2026

https://github.com/dineshkumarc9102/dineshkumar_parkinson-s_disease_prediction

Parkinson's Disease Prediction using Machine Learning with a web-based interface built with React, Flask, and Node.js for real-time predictions and user history tracking.

auc-roc data-balancing data-split ensemble-machine-learning expressjs feature-selection flask-api jwt-authentication lucide-react machine-learning mongodb nodejs react-hot-toast reactjs tailwindcss

Last synced: 04 Apr 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/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/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