AliciaCurth/CATENets
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
PythonBSD-3-Clause
Stargazers
- 2019mohamedProteinea
- bitlater@criteo
- curryandsun
- dsontagMIT
- edgarakopyanLudwig Maximilians Universität
- evolu8
- fly51flyPRIS
- GabyUSTCUSTC
- hlzhang109Cambridge, MA
- ioanabicaUniversity of Oxford
- Irisssn
- jeroenbeUniversity of Cambridge
- jgatade
- johndunAmazon.com
- jvpoulosBrigham and Women's Hospital
- kamilestML@CL
- keithyin
- matthewvowels1University of Surrey
- nikikilbertusTUM, Helmholtz AI
- nikolaospapachristou
- pp1230
- RickardKarlDelft University of Technology
- samholtsamuel.holt.direct@gmail.com
- SamVerb
- SANCHES-PedroUniversity of Edinburgh
- seanexpKakaoBrain
- Shu-WanArizona State University
- soupault@Oulu-IMEDS
- sunchang1998
- tianqwangLyft Inc.
- uZeroJ
- Valentyn1997LMU Munich
- viettrMunich
- XanderJCCambridge
- xuningwang
- yajiezAlibaba Group