Projects in Awesome Lists tagged with ensemble-methods

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/usgs/pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

ensemble-methods ensembles global-sensitivity-analysis non-intrusive optimization optimization-tools parallel-computing parameter-estimation sensitivity-analysis uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/curt-park/handwritten_digit_recognition

Handwritten digit recognition with MNIST & Keras

deep-convolutional-networks ensemble-methods handwritten-digit-recognition image-recognition mnist mobilenet python residual-networks resnet super-learner vgg16 wide-residual-networks

Last synced: 13 Apr 2025

https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

amazon-web-services autogluon automl boosting-algorithms data-science deep-learning ensemble-methods exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning machine-learning-algorithms model-building model-evaluation python stacking

Last synced: 13 Apr 2025

https://github.com/North-Shore-AI/LlmGuard

AI Firewall and guardrails for LLM-based Elixir applications

ai ai-firewall ai-safety beam content-filtering elixir ensemble-methods guardrails llm llm-security machine-learning nshkr-crucible otp prompt-injection reliability research safety-constraints security security-framework statistical-testing

Last synced: 22 Jan 2026

https://github.com/linggarm/ensemble-learning-comparison-on-diabetes-classification

Comparison of ensemble learning methods on diabetes disease classification with various datasets

adaboost bagging bagging-ensemble boosting boosting-ensemble cat-boost diabetes-prediction ensemble-learning ensemble-machine-learning ensemble-methods extreme-gradient-boosting gradient-boosting light-gradient-boosting-machine machine-learning python stacking stacking-ensemble

Last synced: 27 Apr 2026

https://github.com/deaneeth/telco-churn-prediction-mlops

Production-ready ML pipeline for telco customer churn prediction using advanced ensemble methods (XGBoost, CatBoost, Random Forest). Handles class imbalance, provides business insights, and includes modular MLOps architecture. Built with scikit-learn, featuring comprehensive EDA, feature engineering, and business impact analysis.

catboost data-preprocessing ensemble-methods feature-engineering machine-learning mlops pipeline-development python random-forest scikit-learn telco-analytics xgboost

Last synced: 15 Apr 2026

https://github.com/north-shore-ai/crucible_harness

Experimental research framework for running AI benchmarks at scale

ai automation beam benchmarking elixir ensemble-methods experiment-automation experiment-orchestration llm machine-learning otp reliability reporting research research-automation statistical-testing test-harness

Last synced: 21 Oct 2025

https://github.com/north-shore-ai/crucible_bench

Statistical testing and analysis framework for AI research

ai anova beam benchmarking effect-size elixir ensemble-methods hypothesis-testing llm machine-learning mann-whitney otp power-analysis reliability research statistical-analysis statistical-testing statistics t-test testing-framework

Last synced: 21 Oct 2025

https://github.com/zainabja52/machine-learning-and-data-science

This repository contains machine learning and data science projects completed as part of academic coursework and practical exploration. It focuses on implementing and comparing algorithms like K-Nearest Neighbors (KNN), Logistic Regression, Support Vector Machines (SVM), and Ensemble Methods for classification and regression tasks.

academic-project classification data-visualization ensemble-methods jupyter-notebook knn logistic-regression machine-learning regression svm

Last synced: 25 Oct 2025

https://github.com/stephengenusa/ai-ensemble-suite

Python framework for multiple GGUF language models to collaborate on tasks using structured communication patterns, aggregating their outputs into coherent responses.

ai artificial-intelligence artificial-intelligence-project ensemble ensemble-methods

Last synced: 06 Mar 2026

https://github.com/satvikpraveen/sklearn-mastery

Enterprise-grade ML framework showcasing advanced Scikit-Learn implementations with production-ready pipelines, algorithm-optimized synthetic data generation, comprehensive evaluation suite with statistical testing, custom transformers, ensemble methods, and real-world industry applications across healthcare, finance, and manufacturing domains.

artificial-intelligence ci-cd classification custom-transformers data-science docker ensemble-methods feature-engineering fintech fraud-detection healthcare-ai hyperparameter-tuning jupyter-notebooks machine-learning mlops model-evaluation pipeline-architecture predictive-maintenance python scikit-learn

Last synced: 04 May 2026

https://github.com/ikanurfitriani/final-project3-ensemblemethod-rf

This repository contains code archives for models that predict the risk of death from heart failure.

ensemble-methods flask heart-failure-prediction jupyter-notebook python random-forest

Last synced: 08 May 2026

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/karimosman89/credit-scoring

Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.

decision-trees ensemble-methods logistic-regression pandas python scikit-learn