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- 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.
mdsunivie/deeperwin’s past year of commit activity - theory2practice Public Forked from juliusberner/theory2practice
Training ReLU networks to high uniform accuracy is intractable
mdsunivie/theory2practice’s past year of commit activity - deep_kolmogorov Public Forked from juliusberner/deep_kolmogorov
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
mdsunivie/deep_kolmogorov’s past year of commit activity - robust_kolmogorov Public Forked from juliusberner/robust_kolmogorov
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)
mdsunivie/robust_kolmogorov’s past year of commit activity
