Earth and Space Information Science Lab, Tsinghua University's repositories
Chinese-Mistral
Chinese-Mistral: An Efficient and Effective Chinese Large Language Model
Satellite-Instrument-NER
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
CAFE2_NODE
A framework for collaborative analysis of distributed environmental data (server-side package)
CAFE2_SCRIPTS
Defaut analytic scripts for CAFE server-side package
CMIP6DataDownloadSpeedTest
This packgae is capable of measuring the data downloading speed from the remote CMIP6 data nodes.
Language:HTML000
CAFE2_PORTAL
A framework for collaborative analysis of distributed environmental data (web user interface package)
Language:Vue000