Sergio Vizcaino Ferrer

@eSVeeF ยท User

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eSVeeF/peft

๐Ÿค— PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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eSVeeF/hierarchical-regime-trading-ml

Prediction performance of classical trading strategies, combined with market regime fine-tuning. The framework integrates unsupervised regime detection with neural network models that forecast the profitability of trading signals while being regime-aware.

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eSVeeF/-Climate-Disasters-Forecasting-Southern-USA-

Predicting climate disasters like hurricanes, floods, and tornados using LSTM networks. Analyzes historical data to improve disaster preparedness and response. Technologies: Python, TensorFlow/Keras, Pandas, NumPy.

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eSVeeF/MelanomaClassifier

Machine learning project designed to classify skin lesions as melanoma or non-melanoma using image data. It employs both Convolutional Neural Networks (CNNs) and Multi-Layer Perceptrons (MLPs) for classification tasks. The project includes custom learning rate schedulers, cross-validation techniques, and utilizes the PH2Data

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