Created by Bin Dong, Xuhua He, Pengfei Jin, Felix Schremmer, Qingchao Yu
This repository contains code to accompany the paper "Machine learning assisted exploration for affine Deligne-Lusztig varieties." The paper presents an interdisciplinary collaboration leveraging machine learning techniques to accelerate research in pure mathematics, specifically studying the geometry of affine Deligne-Lusztig varieties (ADLV).
Pytorch 1.4.0
'DataGenerating' is designed to compute variables of interest in affine Deligne-Lusztig varieties.
'MachineLearning' is dedicated to analyzing the generated data using machine learning techniques.