Abstract: The lack of complete labels and data heterogeneity are obstacles to the application of artificial intelligence-based methods in industrial scenarios, such as machinery fault diagnosis. To ...

Abstract: Stock market forecasting involves predicting fluctuations and trends in the value of financial assets, utilizing statistical and machine learning models to analyze historical market data for ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

A scalable Python framework that transforms algorithm practice into a data-driven, testable, and high-performance workflow—built to help developers grow faster and understand algorithms more deeply.