dawnranger

pytorch-AGNN

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

IDEC-pytorch

Pytorch implementation of Improved Deep Embedded Clustering

spark-pscan

spark implementation of PSCAN: A Parallel Structural Clustering Algorithm for Big Networks in MapReduce

avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

GMM

ARGA

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].

arxiv2018-xling-sentence-embeddings

Concatenated p-mean Embeddings as Universal Cross-Lingual Sentence Representations

Chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

Chinese-Text-Classification-Pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

ComE

Implementation of ComE algorithm

DNGR-Keras

fastText

Library for fast text representation and classification.

gae

Implementation of Graph Auto-Encoders in TensorFlow

graphsage-simple

Simple reference implementation of GraphSAGE.

Interview-Notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

keras-gat

Keras implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

keras-gcn

Keras implementation of Graph Convolutional Networks

LightLDA

Scalable, fast, and lightweight system for large-scale topic modeling

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

notes-machine-learning

My Notes on Machine Learning

OpenAttack

An Open-Source Package for Textual Adversarial Attack.

paican

Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

resume

An elegant \LaTeX\ résumé template

shieldBaiduPromotion

屏蔽百度搜索广告的chrome拓展

sparkling-graph

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Text-Classification

Implementation of papers for text classification task on DBpedia

texthero

Text preprocessing, representation and visualization from zero to hero.