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@WenjieDu

Wenjie Du

WenjieDu
where time series is observed & valued

I'm making my contributions to partially-observed time-series (POTS) modeling systems, benchmarks, and applications.

You can also sponsor me on:

Besides, you can sponsor me with cryptocurrencies, and here are my wallet addresses:

  • DOGE wallet address: D7nHiEpq1nsDQgpUHknvMGnQ9wRADRPyGQ
  • XMR wallet address: 85Hd35Cqg2TaW6sLA5eYBbMmC2iFDMfKtBTL6PMJMiPBXVDf5jFKr6wf1iEqzTcvhXETqWPDACTMNcHiXmQfVo8T5vU7vjk
  • ETH wallet address: 0x9ab544f3435fbfbc21d3ead0d25741e54372d19e

1 sponsor has funded WenjieDu’s work.

@WenjieDu

It's a great honor to see you are using my works! 😃 I'll be able to cover my coffee☕️ costs once I'm sponsored for $50 each month!

@demstalferez

Featured work

  1. WenjieDu/PyPOTS

    A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of…

    Python 685
  2. WenjieDu/SAITS

    The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…

    Python 265
  3. WenjieDu/TSDB

    Time Series Data Beans: a Python toolbox loads 169 public time-series datasets for machine learning/deep learning with a single line of code.

    Python 114
  4. WenjieDu/PyGrinder

    PyGrinder grinds data beans into the incomplete by introducing missing values with different missing patterns.

    Python 20
  5. WenjieDu/BrewPOTS

    The tutorials for PyPOTS.

    Jupyter Notebook 40
  6. WenjieDu/Awesome_Imputation

    Awesome Deep Learning Resources for Time-Series Imputation, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values…

    Python 64

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