Riashat/Active-Learning-Bayesian-Convolutional-Neural-Networks
Active Learning on Image Data using Bayesian ConvNets
Python
Stargazers
- 0x1orzXTU
- angeloziletti@bayer-science-for-a-better-life
- asberkLondon, UK
- bfortunerAmbience Healthcare
- bojiedubb
- chrinide
- chuhaoda
- cosmic-cortex
- emigmoTsinghua University
- fdayoub
- hanshenChen
- HarveyYanMontreal
- houxingxingChangsha, China
- hwei-hwThe Chinese University of Hong Kong
- JimRazaEngland, United Kingdom
- karanrjhaveriUniversity of Wollongong
- limbo018Peking University
- MaksimMisin@gosupersimple
- mariobecerraKU Leuven
- mcdickenson@square
- micimizeSan Francisco, CA
- nuaajeffNUAA
- patricieniNeurolabs
- SJTUGuofei
- smrutilTalentica
- SongFGH
- spillaiAutonomi AI, Inc.
- stes@dynamical-inference @ki-macht-schule @kinematik-ai
- TakuyaNakazato0227University of Tokyo
- taqikoma
- tarek-ullahAmerican International University-Bangladesh
- tbs1980London, United Kingdon
- valyome
- WayneDWNew Jersey
- yu-iskwSan Francisco, CA
- yutarochan@IBMResearch