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 (2 years ago)

Commits 116 (last one 9 months ago)

Stargazers 38 (0 this week)

Watchers 1 (0 this week)

Forks 1

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RepositoryStats indexes 622,366 repositories, of these insdout/Time-Series-Hybrid-Autoencoder is ranked #549,985 (12th percentile) for total stargazers, and #560,851 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #108,841/126,222.

insdout/Time-Series-Hybrid-Autoencoder is also tagged with popular topics, for these it's ranked: pytorch (#5,671/6166), diffusion-models (#603/699), time-series (#634/692)

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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: 2025-02-27 @ 12:00am, id: 579268011 / R_kgDOIobtqw