qianrenjian Goto Github PK
Type: User
Location: 北京
Type: User
Location: 北京
Facilitating the design, comparison and sharing of deep text matching models.
Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.
Generate personalized recommendations
Generate a summarized description of a body of text
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
2021 MAXP 命题赛 任务一:基于DGL的图机器学习任务。队伍:Graph@ICT,🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/
Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
A large medical text dataset curated for abbreviation disambiguation
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Implementation of Memory Network in pyTorch
一系列Memory Networks实现
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
MetaBalance algorithm for multi-task learning
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
Implementation of Metric Factorisation for both rating prediction and item ranking
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
An open source vector similarity search engine powered by Faiss, NMSLIB and Annoy
2020 MIND news recomendation first place solution
News classification & recommendation in Keras
识字画板(微信小程序)
XiaoMi Natural Language Processing Toolkits
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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.