AMinerOpen/prediction_api
AMiner Prediction API is a toolkit for science data prediction, such as scholar portrait property prediction.
This toolkit helps researchers, academic institutions, and science data analysts better understand scholarly data. It takes in various scientific data inputs, such as researcher profiles, and predicts properties like gender, academic identity, or career mobility. The output provides predictions that can inform decisions related to expert recommendation or academic trend analysis.
105 stars. No commits in the last 6 months.
Use this if you need to extract and predict specific characteristics or trends from large datasets of scientific publications and researcher information.
Not ideal if you are looking for a general-purpose machine learning library for non-scientific data, or if you prefer a graphical user interface over a programmatic API.
Stars
105
Forks
21
Language
Python
License
MIT
Category
Last pushed
Sep 16, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AMinerOpen/prediction_api"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
pycaret/pycaret
An open-source, low-code machine learning library in Python
rio-labs/rio
WebApps in pure Python. No JavaScript, HTML and CSS needed
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
jrieke/streamlit-analytics
👀 Track & visualize user interactions with your streamlit app