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Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
C++ Primer 5ed answers
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
Faster R-CNN
An Industrial Grade Federated Learning Framework
An Industrial Graph Neural Network Framework
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
结巴中文分词
LibRec: A Leading Java Library for Recommender Systems, see
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Models built with TensorFlow
[WWW22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
Using scene-specific contexts and region-based attention in neural image captioning
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
Open Source Computer Vision Library
Examples from Programming Collective Intelligence
Must-read papers on Recommender System.
image captions generation with spatial and channel-wise attention
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"
TensorFlow Tutorial and Examples for beginners
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
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.