WenjieDu

AI4TS

AI for time series analysis in only 1 line of code

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

BenchPOTS

a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 172 public time-series datasets

BrewPOTS

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

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

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

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 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

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, and etc.

WenjieDu

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 imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

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

WenjieDu/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

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, and etc.

WenjieDu/BrewPOTS

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

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

WenjieDu/BenchPOTS

a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 172 public time-series datasets

WenjieDu/AI4TS

AI for time series analysis in only 1 line of code

WenjieDu/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

WenjieDu/WenjieDu

WenjieDu/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.

WenjieDu/awesome-time-series

list of papers, code, and other resources

WenjieDu/.github

WenjieDu/github-readme-stats

:zap: Dynamically generated stats for your github readmes

WenjieDu/lib_mysqludf_json

A UDF library of functions to map relational data to the JSON format.

WenjieDu/minc_keras

modified minc_keras project for my graduation project

WenjieDu/PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

WenjieDu/staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks