IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
PythonNOASSERTION
Stargazers
- aodongli
- benlansdellHealth stealth
- bitlater@criteo
- ck37Harvard Medical School, Mass General Hospital
- DanielAubin
- duggalsu
- eecrazyHIT-SCIR
- eyadsibai
- finnhacks42Australia
- firmaiAlan Turing Institute, FirmAI
- fly51flyPRIS
- GELIELEO
- gengjiaxing
- geogian
- gyunggyung@forus-ai
- hang-wuTHU
- jbdatascienceNetherlands
- JoshBroombergNew York
- jpweytjensGhent University
- lonyle
- MaximilianFranz@ModuGen
- mnarayan@neuroquant
- noisyoscillatorBangalore, India
- opoycudecision
- rguo12London
- saramagliacaneUniversity of Amsterdam
- shiaoligreenJersey, Channel Islands
- timalthoff
- tliutonyPhiladelphia, PA
- trisongzGrowth Engine AI
- vveitch
- WeijiaZhang24University of Newcastle
- wlixin
- yishilin14Shenzhen, China
- yixinwang
- yutarochan@IBMResearch