Featured work

1. 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 1,119
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 335
3. WenjieDu/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,…

   Python 168
4. WenjieDu/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…

   Python 34
5. WenjieDu/BrewPOTS

   The tutorials for PyPOTS, guide you to model partially-observed time series datasets.

   Jupyter Notebook 59
6. 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 216