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Ding's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-1 icon caffe-1

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-model icon caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

closed-form-matting icon closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

codetrain icon codetrain

My source code for PAT and Leetcode Training

cv icon cv

CV, typesetted in Helvetica Neue, using XeTeX, TikZ and Biblatex

deepdetect icon deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

deeplearning icon deeplearning

Deep Learning introduction and its application in various fields

densenet-caffe icon densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenetcaffe icon densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

evil-escape icon evil-escape

Customizable key sequence to escape from insert state and everything else in Emacs.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

generative-recommenders icon generative-recommenders

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

hangzhou_house_knowledge icon hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

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