GitHub / 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
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WenjieDu%2FPyPOTS
PURL: pkg:github/WenjieDu/PyPOTS
Stars: 1,633
Forks: 160
Open issues: 34
License: bsd-3-clause
Language: Python
Size: 4.08 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: 3 days ago
Pushed at: 4 days ago
Last synced at: 3 days ago
Commit Stats
Commits: 886
Authors: 14
Mean commits per author: 63.29
Development Distribution Score: 0.024
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/WenjieDu/PyPOTS
Topics: anomaly-detection, classification, clustering, data-analysis, data-mining, data-science, deep-learning, forecasting, generation, imputation, machine-learning, missing-values, neural-networks, pytorch, time-series
Funding Links https://github.com/sponsors/WenjieDu