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Kevin Zhang's Projects

android-cmake icon android-cmake

CMake scripts and patches for libraries using CMake and the Android NDK

bandit-algorithms icon bandit-algorithms

Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-1 icon caffe-1

Caffe for Structurally Sparse Deep Neural Networks

caffe-android-demo icon caffe-android-demo

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-segnet-cudnn5 icon caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample and bn layer of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

caffe-twns icon caffe-twns

Implementation of Ternary Weight Networks In Caffe

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cereal icon cereal

A C++11 library for serialization

cmvs-pmvs icon cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

crl icon crl

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

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