Become a sponsor to Wenjie Du
I'm making my contributions to partially-observed time-series (POTS) modeling systems, benchmarks, and applications.
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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.
Featured work
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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 imputatio…
Python 765 -
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 279 -
WenjieDu/TSDB
Time Series Data Beans: a Python toolbox loads 170 public time-series datasets for machine learning/deep learning with a single line of code.
Python 124 -
WenjieDu/PyGrinder
PyGrinder grinds data beans into the incomplete by introducing missing values with different missing patterns.
Python 24 -
WenjieDu/BrewPOTS
The tutorials for PyPOTS.
Jupyter Notebook 44 -
WenjieDu/Awesome_Imputation
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Python 100
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