Labelia Labs (ex- Substra Foundation)
Collaborative, responsible, trustworthy data sciences
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- distributed-learning-contributivity Public
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
- workgroup-responsible-ai-libraries Public
Groupe de travail librairies open source pour l'IA responsable et de confiance
- proposing-projects Public archive Forked from lfai/proposing-projects
This repo contains the LF AI & Data Project Proposal Process and Project Lifecycle. They explain the process to host new projects in LF AI & Data and provide a proposal template.
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