PyTorch-Reimplementation-of-Super-resolution-Flow
Project status: UnknownPyTorch reimplementation of a deep-learning model for super-resolution reconstruction of turbulent flows, combining DSM and MSM modules. Trained on public data, it reconstructs high-resolution velocity fields from low-resolution inputs. Modular and designed for fluid dynamics research.
- Target software or hardware
- Work type
- Primary public repository
- github.com/ali-aliakbari/pytorch-reimplementation-of-super-resolution-flow
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About and scope
PyTorch reimplementation of a deep-learning model for super-resolution reconstruction of turbulent flows, combining DSM and MSM modules. Trained on public data, it reconstructs high-resolution velocity fields from low-resolution inputs. Modular and designed for fluid dynamics research.
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Reported progress
Progress not reported
Sources, builds and releases
- Open repository · github.comgithub.com/ali-aliakbari/pytorch-reimplementation-of-super-resolution-flow