Skip to content
View yakexee's full-sized avatar

Block or report yakexee

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
@rwightman
Ross Wightman rwightman
Computer Vision @huggingface. Always learning, constantly curious. Building ML/AI systems, watching loss curves.

@huggingface Vancouver, BC, Canada

@CompVis
CompVis - Computer Vision and Learning LMU Munich CompVis
Computer Vision and Learning research group at Ludwig Maximilian University of Munich (formerly Computer Vision Group at Heidelberg University)

Germany

@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@hikvision-research
Hikvision Research Institute hikvision-research
The research institute of Hangzhou hikvision digital technology Co., Ltd.
@junyanz
Jun-Yan Zhu junyanz
Understanding and creating pixels.

Carnegie Mellon University: Pittsburgh, PA

@nxsEdson
Edson-Niu nxsEdson
Ph.D. @ ICT, CAS; now working @ BIGAI
@TadasBaltrusaitis
Tadas Baltrusaitis TadasBaltrusaitis
I am a researcher working in Computer Vision and Machine Learning especially as they relate to Affective Computing and facial behaviour analysis.

Microsoft Cambridge

@mysee1989
Yung Lee mysee1989

Institute of Computing Technology, Chinese Academy of Sciences Beijing

@kaiwang960112
Kai Wang (Victor Kai) kaiwang960112
Ph.D. Student in School of Computing, National University of Singapore

National University of Singapore Hangzhou

@wepe
wepon wepe
http://wepe.github.io/

Ant Group China Hangzhou

@1c7
ZhengCheng 1c7
远程工作中(2020年2月至今)以前做过字幕组(播放量 400 万)。博客写技术和生活。

广州

@M-Mono
M.Mono M-Mono
迭代不息

Germany

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford