GitHub / microsoft / DPSDA
Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FDPSDA
PURL: pkg:github/microsoft/DPSDA
Stars: 99
Forks: 16
Open issues: 0
License: mit
Language: Python
Size: 9.54 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 10 days ago
Pushed at: 10 days ago
Last synced at: 6 days ago
Commit Stats
Commits: 13
Authors: 5
Mean commits per author: 2.6
Development Distribution Score: 0.615
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/microsoft/DPSDA
Topics: differential-privacy, foundation-models, private-evolution, synthetic-data, training-free