stoneyang Goto Github PK
Name: stoneyang
Type: User
Bio: I am a research engineer in the field of computer vision with an emphasize on deep-learning aspect.
Location: Beijing, PR China
Name: stoneyang
Type: User
Bio: I am a research engineer in the field of computer vision with an emphasize on deep-learning aspect.
Location: Beijing, PR China
Training wide residual networks for deployment using a single bit for each weight
Detailed implementation of the paper
Automatic Query Image Disambiguation (AID)
A repository to curate and summarise research papers related to fashion and e-commerce
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Training Deep Neural Networks with binary weights during propagations
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Binary Weight Network and XNOR Network.
Caffe: a fast open framework for deep learning.
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
Supervised Semantics-preserving Deep Hashing (TPAMI17)
A caffe version implementation of a hash network(DNNH/NINH) for similarity-based visual research based on paper: Simultaneous feature learning and hash coding with deep neural networks
Caffe models in TensorFlow
Implementation of Ternary Weight Networks In Caffe
This is currently an experimental refactoring of Caffe.
Forked version of Ristretto, for original version of Ristretto, see https://github.com/pmgysel/caffe
Tool to compress trained caffe weights
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Cool vision, learning and graphics papers on Cats!
🏞 A content-based image retrieval (CBIR) system
Channel Pruning for Accelerating Very Deep Neural Networks
ML
:apple:Face image rerieval
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''
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.