xifengguo Goto Github PK
Name: Xifeng Guo
Type: User
Company: NUDT
Bio: My interests include Clustering, Deep Learning, Representation Learning and Transfer Learning.
Name: Xifeng Guo
Type: User
Company: NUDT
Bio: My interests include Clustering, Deep Learning, Representation Learning and Transfer Learning.
A simple and effective method for single-class classification of images
Capsule Network on Fashion MNIST dataset
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Compare GAN code.
Some data or models files
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
Keras implementation for Deep Embedding Clustering (DEC)
Deep Clustering for Unsupervised Learning of Visual Features
A Pytorch implementation of DSC-Net (Deep subspace clustering networks, NIPS17)
A memory-efficient implementation of DenseNets
Source Code for FINCH Clustering Algorithm
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
PyTorch Implementation of InfoGAN
Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"
Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
All Algorithms implemented in Python
Collection of generative models in Pytorch version.
PyTorch Tutorial for Deep Learning Researchers
Implementation of Deep Soft-K means
The walking algorithm for fingerprint singular points detection introduced in "Zhu E, Guo X, Yin J. Walking to singular points of fingerprints[J]. Pattern Recognition, 2016, 56:116-128."
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.