https://gist.github.com/xmyqsh
FPN. Feature Pyramid Network
154deeplab-v2. DeepLab v2 support cudnn-v5
63RetinaNet. Focal loss for Dense Object Detection
34Coursera. honor programming assignment
9AI-Challenger-Keypoint. Lua
8SNIP_on_cityscapes. my state of the art result on cityscapes
6TusharWhiteboard. Translate Tushar Roy's whiteboard to code
3gpu_coords_map. C++
3leetcode2016. C++
3dlsys-course. CSE 599W: Systems for ML
2SUMU_user_pairing. communication project and paper
2py-faster-rcnn. faster-rcnn upcompatible with caffe/master for supporting the latest cuDNN 5.1.5
2FSN. Fully Sparse Network (5 FPS, IO bounded, 方向分类不需要取模操作,加速训练)
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