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model-fusion

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EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications

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Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

generative-model ensemble-learning transfer-learning zero-shot-learning robustness multi-task-learning attack-defense generalization meta-learning model-fusion federated-learning continual-learning few-shot-learning diffusion-models multi-domain-learning foundation-models large-language-models llms model-merging knowledge-fusion
  • Updated Nov 18, 2025

umitkacar / time-series-ensemble-toolkit

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Production-grade ensemble framework combining XGBoost, PyTorch & Sklearn - 70%+ test coverage with Optuna optimization for time-series prediction

machine-learning deep-learning scikit-learn tabular-data pytorch neural-networks xgboost ensemble-learning feature-engineering automl gradient-boosting time-series-analysis model-fusion model-stacking signal-classification hybrid-models prediction-models sensor-data-analysis biosignal-processing 1d-signal-processing
  • Updated Nov 10, 2025
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