This repository implements a GPU-accelerated next-word prediction model using PyTorch and LSTM. It includes data preprocessing with NLTK, vocabulary creation, training on tokenized text, and ...

This is the repository to go with the paper "Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management" in the ...

Machine learning (ML) and deep learning (DL) algorithms are widely used to enhance classification accuracy. This study integrates decomposition ... as DL algorithms such as long short-term memory ...

The study's innovation lies in its hybrid approach, where PSO optimizes feature selection, reducing computational overhead while maintaining high accuracy. Six models—SVM, KNN, CatBoost, Naive Bayes, ...

Utilizing an autoencoder network, our model indirectly trains the photonic ... This work enhances prediction accuracy by leveraging energy band diagrams to constrain optical properties.

Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland ...