DSL and compiler framework for automated finite-differences and stencil computation
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Updated
Dec 31, 2024 - Python
DSL and compiler framework for automated finite-differences and stencil computation
Julia Devito inversion.
An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
PGNN-FWI: performing physics-guided neural network for FWI
Wave propagators for seismic domains with application to full waveform inversion.
Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
Memory efficient seismic inversion via trace estimation
Finite Element Method High-Performance Acoustic Simulation
FWI examples with constraints.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
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