Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Open-source AI tools may be free to download, but the high cost of hardware and limited compute access means most people ...

This package provides an unofficial collection of datasets widely used in the evaluation of machine learning techniques, mainly small and imbalanced datasets for binary, multiclass classification and ...

Are Machine Learning Classifiers Robust Enough Against Poisoned Datasets? Abstract: Machine learning (ML) classifiers are widely used in many real-world applications for classification, prediction, ...

Machine learning (ML) has emerged as a highly efficient approach for designing cyber-attack detection systems to improve the security. This study reviewed recent advancements in the literature ...

Welcome to the official repository of Hunyuan-A13B, an innovative and open-source large language model (LLM) built on a fine-grained Mixture-of-Experts (MoE) architecture.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...