A Julia framework for invertible neural networks
-
Updated
Aug 2, 2024 - Julia
A Julia framework for invertible neural networks
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
Solving multiphysics-based inverse problems with learned surrogates and constraints
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
WISE: full-Waveform variational Inference via Subsurface Extensions
Add a description, image, and links to the normalizing-flows topic page so that developers can more easily learn about it.
To associate your repository with the normalizing-flows topic, visit your repo's landing page and select "manage topics."