Pinned Repositories
cMedQA2
This is updated version of the dataset for Chinese community medical question answering.
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
FrozenLakeDeepQLearning
IncidentsDataset
Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".
minet
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
webMedQA
A Chinese medical question answering dataset
xview2
Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed. Paper at https://arxiv.org/pdf/2004.05525.pdf. Presentation at https://slideslive.com/38926353/building-disaster-damage-assessment-in-satelite-imagery-with-multitemporal-fusion.
UCASxiaobai's Repositories
UCASxiaobai/cMedQA2
This is updated version of the dataset for Chinese community medical question answering.
UCASxiaobai/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
UCASxiaobai/FrozenLakeDeepQLearning
UCASxiaobai/IncidentsDataset
Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".
UCASxiaobai/minet
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
UCASxiaobai/webMedQA
A Chinese medical question answering dataset
UCASxiaobai/xview2
Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed. Paper at https://arxiv.org/pdf/2004.05525.pdf. Presentation at https://slideslive.com/38926353/building-disaster-damage-assessment-in-satelite-imagery-with-multitemporal-fusion.