LabeliaLabs/distributed-learning-contributivity
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
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Stargazers
- adelCIntel
- armandleopoldFounder @Qalita
- arthurPignet
- aygalicParis
- bluerxing
- bowni
- cai-harryDatatonic
- CamilleMariniSonos
- celinejacques
- ClementMayer@SubstraFoundation
- DaBoos
- danyPatient
- enlight@loomnetwork
- Fabien-GELUS@owkin
- fd0r@zama-ai
- guillaumebonifaceLondon, UK
- j-abi
- JoshFourie@DecodedAI
- JustineBoulant
- kat-leen
- leiyucs
- ludoviccSOPHiA Genetics
- maxime-des
- metzgermh
- minilia75France
- MrDaiki
- MylanDeveau
- natct10
- nicodinhSenior Developer
- nicolas-landel
- pnpolcherMadrid, Spain
- RomainBey
- RomainGoussault@owkin
- siomvasCity, University of London
- tbaudier
- VivienGiraudLimoges (FR)