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GitHub topics: conditional-data-generation

insdout/Time-Series-Hybrid-Autoencoder

Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.

Language: Python - Size: 348 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 0

BaratiLab/Diffusion-based-Fluid-Super-resolution

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

Language: Python - Size: 54.1 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 44 - Forks: 13

Related Keywords
conditional-data-generation 2 pytorch 2 super-resolution 1 computational-fluid-simulation 1 variational-autoencoder 1 vae 1 turbofan-engine 1 triplet-loss 1 time-series 1 remaining-useful-life 1 preventive-maintenance 1 latent-variable-models 1 latent-space 1 diffusion-models 1 ddpm 1 classifier-free-guidance 1 c-mapss 1