Wenjie Du

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,...

WenjieDu

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-seri...

WenjieDu

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

WenjieDu

The tutorials for PyPOTS.

WenjieDu

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

WenjieDu

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/da...

WenjieDu