AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기메이커가 쓴 소개는 위의 한 줄이 전부입니다. 더 자세한 내용은 저장소 README에서 읽을 수 있습니다. 저장소 README ↗
README 전체를 불러오는 중입니다.
README 전문 보기 ↗
The 🔥GPlates Web Service🔥 is a part of the on-going GPlates project funded by AuScope. The web service is built upon pyGPlates and allows users to utilize the pyGPlates functionalities without the need of installing pyGPlates locally. Users send HTTP requests to https://gws.gplates.org or On-Prem server, and then the server will process the requests and send the results back. The web service provides access to pyGPlates functionalities across multiple programming languages and operating systems.
The GPlates Web Service is created and maintained by EarthByte group at the University of Sydney.
Please give us a ⭐star⭐ to show your support for our development team. Thank you very much!
👉 Use the GPlates Web Service in a web browser
{"type": "MultiPoint", "coordinates": [[59.3469, 60.9242], [124.7549, -59.069]]}
The server returns a valid GeoJSON MultiPoint geometry containing the paleo-coordinates of two present-day locations ([95,54] and [142,-33]) at 140 Ma. The paleo-coordinates are calculated using the plate reconstruction model ZAHIROVIC2022.
👉 Use curl or wget
wget -qO - "https://gws.gplates.org/reconstruct/reconstruct_points/?lons=95,142&lats=54,-33&time=140&model=ZAHIROVIC2022"
curl "https://gws.gplates.org/reconstruct/reconstruct_points/?lons=95,142&lats=54,-33&time=140&model=ZAHIROVIC2022"
👉 Use GPlates Web Service Python Wrapper(gwspy)
The examples of using the web service in Python can be found at here.
👉 Use GPlates Web Service in R
The rgplates is a good example of using GPlates Web Service in R programming language.
👉 Use GPlates Web Service in JavaScript
The gplates-js is an experimental project of using GPlates Web Service in JavaScript programming language.
👉 Setup your own server
You are welcome to use our servers. But for better performance and data security, you might want to set up the service on your own server/personal computer.
Start your own GWS server is as simple as the one-line command below. You need Docker to run this command.
docker run -d --rm -p 18000:80 gplates/gws
See docker/README.md for the step-by-step instructions.
django -- source files for the backend
docker -- files for building Docker image
doc -- source files for the online documentation website
examples -- examples of the usage of this web service
test -- source code for testing
scripts -- some miscellaneous supporting scripts
data -- symbolic link to the folder containing the data files
Click this 👉link👈 to see details about using Docker in the development/production environment.
Some more examples of accessing the service from different languages (R, MATLAB, bash/GMT, Python) can be found at https://github.com/siwill22/gws-examples.
The GPlates Web Service is free software (also known as open-source software), licensed for distribution under the GNU General Public License (GPL) Version 2. Contact EarthByte group regarding the details of the software licensing.
The main server is provided by NCI Cloud under AuScope scheme. Two backup servers are provided by NCI and EarthByte group.