Mathematics of Data Science / University of Vienna

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6 repositories

deeperwin
Public
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.
deep-neural-networks deep-learning transfer-learning schrodinger-equation quantum-monte-carlo variational-monte-carlo weight-sharing physical-chem
Python
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Other
•8•54•0•1•Updated Dec 19, 2024Dec 19, 2024
HARNet
Public
TensorFlow implementation of the HARNet model for realized volatility forecasting.
time-series stock-market forecasting volatility-forecasting deep-learning tensorflow
Python
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MIT License
•4•25•0•0•Updated Jul 16, 2023Jul 16, 2023
theory2practice
Public
Training ReLU networks to high uniform accuracy is intractable
deep-learning machine-learning-algorithms pytorch neural-networks learning-theory adversarial-examples weights-and-biases ray-tune
Python
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MIT License
•1•1•0•0•Updated Nov 14, 2022Nov 14, 2022
deep_kolmogorov
Public
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
Python
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MIT License
•7•7•0•0•Updated Nov 14, 2022Nov 14, 2022
robust_kolmogorov
Public
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)
Python
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MIT License
•1•0•0•0•Updated Aug 10, 2022Aug 10, 2022
EffDI
Public
Python package to compute the effective dispersion index (EffDI).
Python
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GNU General Public License v3.0
•0•1•0•0•Updated May 29, 2022May 29, 2022