Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...
proyecto_senas_holistic/ ├── data/ │ └── secuencias/ # Secuencias .npy organizadas por clase ├── gifs/ # GIFs de referencia visual por clase ├── models/ # Modelo LSTM entrenado + etiquetas ├── ...
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A comprehensive implementation of a hybrid architecture combining Mamba and xLSTM (mLSTM, sLSTM) for efficient sequence modeling with custom CUDA/Triton kernels. hybrid-xmamba/ ├── configs/ # ...
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