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Caffe: a fast open framework for deep learning.

Home Page: http://caffe.berkeleyvision.org/

License: Other

CMake 2.83% Shell 0.47% C++ 80.06% Python 9.10% MATLAB 0.88% Cuda 5.92% Makefile 0.66% Dockerfile 0.08%

caffe's Introduction

Hi there 👋

Jing Mai's Instagram Jing Mai's Twitter Jing Mai's LinkedIN Jing Mai's Google Scholar



Hi, I'm Jing Mai, a third-year Ph.D. student 🚀 in the Department of Computer Science at Peking University associated with CECA. I am a member of the PKU-IDEA Lab, advised by 👨🏽‍💼Prof. @Yibo Lin.

My research focuses are machine learning-assisted EDA; my broader interests include MLSys, concurrency and probabilistic modeling.

Previously, I received the B.S. degree in Computer Science and Technology from Peking University in 2021.

I am also an open-source enthusiast and maintainer. I learned a lot from the open-source community and I love how collaboration and knowledge sharing happened through open-source.

📈 my github stats:

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