Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
A hybrid model combining bidirectional deep learning, attention and fuzzy reasoning reported 98.8% accuracy on a 2,500-observation macro-financial policy dataset spanning 2019–2025.
TensorMesh is a finite element method (FEM) library built natively on PyTorch. It is designed to solve partial differential equations (PDEs) with the ergonomics of modern deep learning frameworks — ...