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1. hyperopt-llm-project hyperopt-llm-project Public

   LM-AutoOpt is a hyperparameter optimization framework that uses LLM reasoning to propose optimal configurations for time-series forecasting models. It improves interpretability and iteratively enha…

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2. Taxi-Demand-Prediction Taxi-Demand-Prediction Public

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3. Interpretable_Meta-Active-Learning-for-Regression-Ensemble-Learning Interpretable_Meta-Active-Learning-for-Regression-Ensemble-Learning Public

   Interpretable Meta-Active Learning for Regression Ensemble Learning

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4. META-ASR META-ASR Public

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5. Tumor-brain-segmentation Tumor-brain-segmentation Public

   Tumor segmentation for brain MRI images involves these steps: collect and preprocess images, annotate tumors, choose Mask R-CNN, train the model, evaluate performance, and refine segmentation results.

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6. Object-Classification Object-Classification Public

   This project demonstrates the effectiveness of fine-tuning the pre-trained AlexNet model on the Caltech 101 dataset for object classification.

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