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This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlab
Experiement in paper "Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis"
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Bitcoin Core integration/staging tree
matlab implementation of convolutional deep boltzmann machine
Convolutional Deep Belief Network (Honglak Lee's ICML paper)
an implementation of Convolutional Deep Belief Network (CDBN) using Matlab
CIFAR 100 feature data extracted from a VGG16 pre-trained on ImageNet.
Clustering by fast search and find of density peaks
Identifying Missing Nodes in Social Network Based On Common neighbors
Semi-Supervised Learning and Collective Classification
Color-based and shape-based segmentation using HSV and regionprops
Draw multi-layer neural network in your browser 画神经网络结构
A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.
Database for supervised evaluation of seed-based interactive image segmentation algorithms.
Frequently used datasets in Machine Learning and Data Mining will be constantly collected for the sake of follow-ups.
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
(Open Source) Computer Vision + Deep Learning + League of Legends
MIT Deep Learning Book in PDF format
Deep Learning Book Chinese Translation
Dynamic Graph-Based Label Propagation for Density Peaks Clustering
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
A MNIST-like fashion product database. Benchmark :point_right:
Faster Learning on Anchor Graph
An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.
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.