wenjiedu
Researcher on Machine/Deep Learning, Data Science/Mining, Time Series Analysis/Forecasting, Neural Networks, AI/LLM for TS, Missingness/Missing Value Imputation
Funding Links: https://github.com/sponsors/WenjieDu
- Name: Wenjie Du
- Location: where time series is observed & valued
- Company: @TimeSeries-AI
- Kind: user
- Followers: 254
- Following: 2
- Total stars: 1267
- Repositories count: 24
- Created at: 2022-11-18T15:57:41.958Z
- Updated at: 2025-03-30T20:29:37.867Z
- Last synced at: 2025-03-30T20:29:37.866Z
GitHub Sponsors Profile
I'm making my contributions to partially-observed time-series (POTS) modeling systems, benchmarks, and applications.
You can also sponsor me on:
Buy Me a Coffee - WenjieDu
Ko-fi - WenjieDu
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
- Current Sponsors: 2
- Past Sponsors: 0
- Total Sponsors: 2
- Minimum Sponsorship: $5.00
Featured Works
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…
Language: Python - Stars: 1337WenjieDu/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…
Language: Python - Stars: 389WenjieDu/TSDB
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather,…
Language: Python - Stars: 191WenjieDu/PyGrinder
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at…
Language: Python - Stars: 46WenjieDu/BrewPOTS
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Language: Jupyter Notebook - Stars: 77WenjieDu/Awesome_Imputation
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Language: Python - Stars: 277Active Sponsors
Past Sponsors
demstalferez
vinogradovkonst
Sponsor Breakdown
- User: 2