Abstract: Machine learning algorithms have become pervasive in diverse applications, revolutionizing various domains. However, the abundance of algorithms, each designed for specific purposes, poses a ...

This presents an implementation of a Generative Pre-trained Transformer (GPT) model, focusing on comparing the performance and effectiveness of Kolmogorov-Arnold Networks (KANs) and traditional ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

Abstract: The article enhancing the Predictive Maintenance of Power Transformers Using Machine Learning focuses on the application of machine learning algorithms to improve the accuracy of predicting ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...

This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and ...