athms/learning-from-brains
Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.
Python
Stargazers
- alexisthualFrance
- angelektKU Leuven
- artkpv
- Boltzmachine
- ChristianGerloff127.0.0.1
- DraganaManaParis Brain Institute (ICM)
- elad619
- elgazzarrDonders Institute for Brain, Cognition, and Behaviour | Radboud University
- faizankshaikhStora Enso
- griegnerHalıcıoğlu Data Science Institute
- Guang000Hokkaido University
- gzoumpourlisLondon, UK
- harryjulianuk
- heiheihei730ZJU
- HiroSakuraba
- hongyangsgNortheastern Unviersity
- hubertjb
- kingjrMeta AI, CNRS
- lishurui0612
- liuzhenqi77@netneurolab
- lwaekfjlkCKC@ZJU -> LTI@CMU -> CS@UIUC
- Matlmr
- RaphaelMeudecParis, France
- rgbayrakVanderbilt University
- rkobler
- rootnxHIT-SCIR
- SaqibMamoon
- shuo-zhouThe University of Sheffield
- sorenjmadsen@braindynamicslab @axoninterfaces
- tatsuookuboChinese Institute for Brain Research, Beijing
- tojocky
- tommybotch
- wenhui0206University of Southern California
- yzihanMIT Media Lab Fluid Interface Group
- zeyuyun1UC Berkeley
- zjc062