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Location: 北京
Type: User
Location: 北京
Several sequential recommended models implemented by tenosrflow1.x
Model Serving on PyTorch
Boosting your Web Services of Deep Learning Applications.
Python-based framework for building and evaluating session-based recommender systems.
GRu4Rec in TensorFlow
Source code for WSDM 2022 paper Learning Multi-grannularity User Intent Unit for Session-based Recommendation.
Pytorch implementation of set transformer
SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018
该模型主要是用于短文本语义相似度匹配场景
This is a fast caffe implementation of ShuffleNet.
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
Siamese and triplet networks with online pair/triplet mining in PyTorch
Short text similarity matching model based on deep learning and machine learning
ULMFiT + Siamese Network for Sentence Vectors
A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.
Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"
SideNet: Neural Extractive Summarization with Side Information
sentence embedding by Smooth Inverse Frequency weighting scheme
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
implementation for comparison of supervised Learning to Match methods for product search
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
One Person, One Model, One World: Learning Continual User Representation without Forgetting
a bert for retrieval and generation
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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.