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A kinetic Monte Carlo dataset of monoatomic step roughening for deep generati...
<p>Deep Generative models have shown impressive capabilities in several applications, e.g., image, video, and audio synthesis. Importantly, they can infer probability... -
Replication Data for: Constraint-aware neural networks for Riemann problems
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an... -
Replication Scripts for: "Collective variables of neural networks: empirical ...
The scripts provided here are for reproducing the results and plots of "Collective variables of neural networks: empirical time evolution and scaling laws"... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
Replication Data for: Constraint-aware neural networks for Riemann problems
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process
Temporal point clouds sampled from a workpiece in progress using 16 different machining tools. The datasets were created using a machining simulation in the Unit Industrial...
