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Mathematics of Data Science / University of Vienna's Projects

deep_kolmogorov icon deep_kolmogorov

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning

deeperwin icon deeperwin

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

effdi icon effdi

Python package to compute the effective dispersion index (EffDI).

harnet icon harnet

TensorFlow implementation of the HARNet model for realized volatility forecasting.

robust_kolmogorov icon robust_kolmogorov

Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)

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