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WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
https://pypots.com
BSD 3-Clause "New" or "Revised" License
1.03k stars 99 forks source link

Add GP-VAE/USGAN #175

Closed AugustJW closed 1 year ago

AugustJW commented 1 year ago

1. Model description

Add two classific imputation models:

  1. GP-VAE(AISTATS'20): a VAE model with Gaussian Process Prior.
  2. USGAN(AAAI'21): a GAN model, which is an unsupervised version of SSGAN.

2. Check open-source status

3. Provide useful information for the implementation

No response

WenjieDu commented 1 year ago

Hi there 👋,

Thank you so much for your attention to PyPOTS! You can follow me on GitHub to receive the latest news of PyPOTS. If you find PyPOTS helpful to your work, please star⭐️ this repository. Your star is your recognition, which can help more people notice PyPOTS and grow PyPOTS community. It matters and is definitely a kind of contribution to the community.

I have received your message and will respond ASAP. Thank you for your patience! 😃

Best, Wenjie