Wenjie Du

PyPOTS. A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

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-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Awesome_Imputation. Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

TSDB. a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

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

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 random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

BenchPOTS. a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 182 public time-series datasets

AI4TS. AI for time series analysis in only 1 line of code

Google_Scholar_Badge_Generator. This repository helps you automatically generate citation badges of articles/profiles on Google Scholar. With GitHub actions, you can make yourself a GoogleScholar version of shields.io

TimeSeries_Analysis_Skills. Awesome Time-Series Analysis (TSA) Skills for AI Agents, supporting tasks of imputation, forecasting, classification, clustering, anomaly detection

eye_game. A python module for parsing human gaze direction

WenjieDu.

DevNet. An implementation of Deviation Network with a case on the credit card fraud dataset.

awesome-time-series. list of papers, code, and other resources