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This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Concatenated p-mean Embeddings as Universal Cross-Lingual Sentence Representations
Avatars for Zoom, Skype and other video-conferencing apps.
Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
Convolutional Neural Network for Text Classification in Tensorflow
Implementation of ComE algorithm
Library for fast text representation and classification.
Implementation of Graph Auto-Encoders in TensorFlow
Simple reference implementation of GraphSAGE.
Pytorch implementation of Improved Deep Embedded Clustering
:books: 技术面试需要掌握的基础知识整理,欢迎编辑~
Keras implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Keras implementation of Graph Convolutional Networks
Scalable, fast, and lightweight system for large-scale topic modeling
TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.
min-hash and p-stable hash
My Notes on Machine Learning
An Open-Source Package for Textual Adversarial Attack.
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
An elegant \LaTeX\ résumé template
屏蔽百度搜索广告的chrome拓展
spark implementation of PSCAN: A Parallel Structural Clustering Algorithm for Big Networks in MapReduce
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Implementation of papers for text classification task on DBpedia
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.