QinghuaZhao

Hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

fingerprint_recognition

Fingerprint recognition using CNN (Keras)

rgat

A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811

GRETNA

A Graph-theoretical Network Analysis Toolkit in MATLAB

deepwalk

DeepWalk - Deep Learning for Graphs

gcn

Implementation of Graph Convolutional Networks in TensorFlow

awesome-network-embedding

A curated list of network embedding techniques.

alembic

⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website

mundana-theme-jekyll

Mundana is a free Jekyll theme, Medium styled.

mediumish-theme-jekyll

Jekyll Template - Mediumish

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

affiliates-jekyll-theme

Affiliates - Jekyll Blogging Theme for Affiliate Marketers

pwc

Papers with code. Sorted by stars. Updated weekly.

dentistsmile

Single page Jekyll theme for dental clinics

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras

What makes convnets so powerful at image classification?

hierarchical-attention-model

hierarchical attention model

sCCA

sparse Canonical Correlation Analysis

planetoid

Semi-supervised learning with graph embeddings

Code-for-DengCai

some codes from DengCai

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepnet

Implementation of some deep learning algorithms.

microstate_code