hernandez-jc/AI-Labor-Exposure
Computational Economics: O*NET 27.3 → AI Automation Exposure Modeling. 3,040 tasks across 80 Management/Entrepreneurship occupations with 12 ML features (AI_Risk_Score, Future_Proof_Score). Labor economics research → production datasets for sklearn/XGBoost. 62% management jobs HIGH AI vulnerability.
Stars
1
Forks
—
Language
—
License
—
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hernandez-jc/AI-Labor-Exposure"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
microsoft/OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
valohai/valohai-yaml
:book: Parses and validates valohai.yaml files.
abhisek247767/AI-ML-DL-Hacktoberfest2024-WB
In this repository you are just write about machine learning algorithms, code(if necessary)
uaanchorage/GSoC
Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and...
jean-zay-users/jean-zay-doc
Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation:...