team-approx-bayes/dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Python
Stargazers
- aimetrics
- alexrame
- anand-ajmeraBonn, Germany
- BinhangYuanHKUST
- BSAraujoTechnical University of Munich (TUM)
- daigo0927Tokyo, Japan
- devzhk
- DunaiFuentesSony AI
- farizikhwantriTokyo Institute of Technology
- fly51flyPRIS
- gigo-gigo
- GoschjannLMU
- greentreeys
- himktTokyo, Japan
- LFhaseSomeplace
- lilium513
- Lingkai-KongHarvard
- maheshkkumarSimon Fraser University
- martinferianc@helsing-ai
- mil-adLondon, UK
- moskomuleRIKEN AIP
- muupan@pfnet
- numahhaTokyo
- prakashjayyQure AI
- schaugfTempus Labs
- sheepover96
- ShigekiKarita
- shunkakinoki@LightDotSo
- siddharthswaroop
- SikaStarPeking University
- sun254667307
- sunbc0120Amazon Web Services
- tand826The University of Tokyo
- tanutarou
- VilluxIntuition Machines
- zxydi1992Penn State University