Pinned Repositories
BatteryML
FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
ProbTS
ProbTS is a benchmarking toolkit for time series forecasting.
covid19-forecast-hub
Projections of COVID-19, in standardized format
covid19-forecast-hub
Projections of COVID-19, in standardized format
DIAG-NRE
The implementation of the paper "DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction"
Doc2EDAG
HierST
The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"
ProbTS
ProbTS is a unified toolkit for probabilistic time series forecasting.
DIAG-NRE
Source code for ACL 2019 paper "DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction".
shun-zheng's Repositories
shun-zheng/Doc2EDAG
shun-zheng/HierST
The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"
shun-zheng/DIAG-NRE
The implementation of the paper "DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction"
shun-zheng/covid19-forecast-hub
Projections of COVID-19, in standardized format
shun-zheng/ProbTS
ProbTS is a unified toolkit for probabilistic time series forecasting.