insdout / Time-Series-Hybrid-Autoencoder

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

Date Created 2022-12-17 (about a year ago)

Commits 116 (last one 5 months ago)

Stargazers 31 (0 this week)

Watchers 2 (0 this week)

Forks 1

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RepositoryStats indexes 579,555 repositories, of these insdout/Time-Series-Hybrid-Autoencoder is ranked #550,903 (5th percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #108,316/115,123.

insdout/Time-Series-Hybrid-Autoencoder is also tagged with popular topics, for these it's ranked: pytorch (#5,741/5914), time-series (#631/653)

All Topics

vae ddpm c-mapss pytorch time-series latent-space triplet-loss turbofan-engine diffusion-models remaining-useful-life latent-variable-models preventive-maintenance variational-autoencoder classifier-free-guidance conditional-data-generation

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116 commits on the default branch (main) since jan '22

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updated: 2024-10-27 @ 12:10pm, id: 579268011 / R_kgDOIobtqw