GitHub / insdout / Time-Series-Hybrid-Autoencoder
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
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Stars: 19
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 348 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: c-mapss, classifier-free-guidance, conditional-data-generation, ddpm, diffusion-models, latent-space, latent-variable-models, preventive-maintenance, pytorch, remaining-useful-life, time-series, triplet-loss, turbofan-engine, vae, variational-autoencoder