This is a GitHub page for Stanford course STAT 385 (Analyses of Deep Learning).
Shiguang Wu
Furyton
Hi, I'm a M.Sc student at IRLab of Shandong University, and interested in theoretical aspects of information retrieval models.
Shandong University
Shaobo (Steven) Wang
gszfwsb
Intern @QwenLM, Ph.D Candidate @EPIC-Lab-sjtu. Previous Master Student @Thinklab-SJTU. Feel free to contact me or teach me.
Shanghai Jiao Tong University Shanghai, China
Minqi Pan
pmq20
Head of Anti-Fraud - Payments / e-Commerce. Ten+ years of Fintech experience. Former engineer of Alibaba. Speaker of RailsConf and RubyConf. Hacker since 2003.
@komoju Tokyo
Shengliang Pu
shlpu
Lecturer - Department of RS & GIS, Faculty of Geomatics, East China University of Technology.
ECUT China
Zonghan Yang
minicheshire
PhD in Tsinghua University, studying agents that automate tasks ranging from daily activities to creative endeavors. Two drifters with the world to see.
@THUNLP-MT @AgentForceTeamOfficial Beijing
Zhang JinXiong(张金雄)
Hulalazz
Interested in application of mathematics including statistical machine learning, numerical optimization and data analysis.
Mirco Ravanelli
mravanelli
I'm an Assistant Professor at Concordia University and Mila Associate Member working on deep learning for Conversational AI
Concordia University/Mila Montreal
爱可可-爱生活
fly51fly
BUPT prof | Sharing latest AI papers & insights | Join me in embracing the AI revolution! #MachineLearning #AI #Innovation
PRIS BeiJing
Nidhal Selmi
Nydhal
Staff Software Engineer.
MS in Computer Science.
Data Sciences PhD candidate.
Researcher in LLMs/SLMs and Textual Graph Representations (knowledge graphs).
Lancaster, PA
Yann Bayle
ybayle
CTO & co-founder @reefpulse | PhD in AI applied to Signal Processing
Reef Pulse France

