jizhihang Goto Github PK
Type: User
Type: User
Utilizes Content Based Image Retrieval techniques to make determinations based on features and GPS metadata from images.
Code for the paper "Searching for category-consistent features: A computational approach to understanding visual category representation"
This is a BoW implementation for action recognition problem in Matlab.
Bayesian Program Learning model for one-shot learning
Bayes Point Machine toolbox
My code solutions to exercises of Bayesian Reasoning and Machine Learning
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
caffe fork containing custom layers for the BMVC2015 paper "Part localization using multi-proposal consensus for fine-grained categorization"
Configure Caffe in one hour for Windows users.
Caffe使用教程
Windows Calculator: A simple yet powerful calculator that ships with Windows
Caltech's Large Scale Image Search Toolbox
Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)
http://pages.cs.wisc.edu/~mohitg/courses/CS766/
Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.
a sandbox for studying different methods of coding categorical variables
Image files for cats and dogs classification via AlexNet
Implementation of L1(Lasso) linear regression with coordinate descent method.
A pure C implementation of the coordinate descent algorithm to solve L1 regularized linear regression problem
cdSRC(Class-Dependent Sparse Representation Classifier) 基于类别的稀疏表示分类器的简单实现,MATLAB代码版本。下面是原论文地址:
Automatic Cell Detector And Tracker that works even in very low quality (blurred, missing frames, etc) images
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.
A modest but efficient training/inference framework for linear-chain conditional random fields (CRFs)
Chebfun: numerical computing with functions.
ACM SIGCHI 2019 Course on Bayesian Methods on Interaction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.