shimiaoli

Pinned Repositories

caffe
Caffe: a fast open framework for deep learning.
Language:C++0 2 00
crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Language:Matlab0 1 00
datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
Language:Java0 2 00
datasciencecoursera
Coursera course project
0 2 00
datasharing
The Leek group guide to data sharing
0 2 00
deep-prior
Fast and accurate 3D hand pose estimation from single depth images
Language:Python0 2 00
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Language:Matlab0 2 00
gluon-cv
Gluon CV Toolkit
Language:Python0 1 00
opencv
Open Source Computer Vision Library
Language:C++0 1 00
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Language:C++0 2 00

shimiaoli's Repositories

shimiaoli/caffe
Caffe: a fast open framework for deep learning.
Language:C++0 2 00
shimiaoli/crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Language:Matlab0 1 00
shimiaoli/datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
Language:Java0 2 00
shimiaoli/datasciencecoursera
Coursera course project
0 2 00
shimiaoli/datasharing
The Leek group guide to data sharing
0 2 00
shimiaoli/deep-prior
Fast and accurate 3D hand pose estimation from single depth images
Language:Python0 2 00
shimiaoli/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Language:Matlab0 2 00
shimiaoli/gluon-cv
Gluon CV Toolkit
Language:Python0 1 00
shimiaoli/opencv
Open Source Computer Vision Library
Language:C++0 1 00
shimiaoli/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Language:C++0 2 00
shimiaoli/test-repo
First time create a repo
2 0