aangelopoulos/im2im-uq
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
PythonMIT
Stargazers
- abursucvaleo.ai
- alextimansUniversity of Amsterdam
- anatolicvsTechnical University of Berlin
- AndreaPi
- averysi224Philadelphia
- baoruiYanApieceofidol
- cekmekciUniversity of Rochester
- christian-cahigPhilippines
- conradryFrederick National Laboratory for Cancer Research, NCI/NIH
- danoneataRomania
- eedy8888
- eigenvivekMassachusetts Institute of Technology
- ellenzhuwangUIC
- fly51flyPRIS
- fmx789South China University of Technology
- GinGinWang
- izzatumKing Abdullah University of Science and Technology (KAUST)
- JacopoTeneggiJohns Hopkins University
- JeffCarpenterCanada
- JiachenTu
- jvpoulosBrigham and Women's Hospital
- jxzhangjhuIntuit AI Research
- lalagial
- lianqing11
- LuchixiangThe University of Hong Kong
- martin-genzelMerantix Momentum
- matthewyccheungRice University
- nilslehTUM
- ShreyasFadnavis@harvard @nipy @dipy
- wyzjackNortheastern University
- xuanlongORZParis-Saclay University | ENSTA Paris
- yinzhicunHarbin Institute of Technology
- yqyqyqyqyqy
- yuanpinzHithink RoyalFlush Information Network Co.,Ltd.
- YuyangXueEdUniversity of Edinburgh
- ZhouCX117