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30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

blog

blog

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cnn_graph_test

This is a project about CNN on graph based on medff's paper.Just for learning.

coarsen_test

data_preprocess

documentclassification

This code implements a simple CNN model for document classification with tensorflow.

features

fkphotogallery

可以访问Flicker，下载图片

fwt

Few-shot Learning Relation Classification

gcn

gcn test with pooling

gcn_run

runnable version of gcn

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

generative-information-retrieval.github.io

gnnpapers

Must-read papers on graph neural networks (GNN)

guidepage

参考的github上小伙伴的代码，非常感谢

kdft-pn-backup

Knowledge-based Diverse Feature Transformation Prototypica

kmeans

short text classification,run main.py

koenokatachi

声之形的各种文档

lightningbaby.github.io

lintcode

Java Solutions to problems on LintCode/LeetCode

listgr

Repository of "Listwise Generative Retrieval Models via a Sequential Learning Process". Coming soon!

matplotlib-tutorial

Matplotlib tutorial for beginner

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

myfewrel

origin version

notes-python

中文 Python 笔记

nrepapers

Must-read papers on neural relation extraction (NRE)

opensource2

开源**Android客户端