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 ...

Abstract: Synthetic data generation has become a powerful solution for producing high-quality, privacy-preserving datasets, especially in domains where data sensitivity is crucial. Large Language ...

Quantitative Finance Attribution Analysis (QuantFAA) is a Python library designed to help portfolio managers, quant researchers, and risk analysts explain performance vs. benchmarks using Brinson, ...

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study Scott Silvey 1 ; Jinze Liu 1 Article Authors Cited by (13) Tweetations Metrics ...