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awesome-knowledge-graph

整理知识图谱相关学习资料

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brian2-simulator

brian2stdpmnist

Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"

brian_mnist

ReSuMe supervised learning performed on single layer of Izhikevich neurons for MNIST classication

captest1

electronic-wechat

:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

gupdater

Code for EMNLP 2019 paper "Learning to Update Knowledge Graphs by Reading News"

iris_snn

Feedforward spiking neural network has been trained with SpikeProp algorithm

know-evolve

Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"

knowledgegraphcourse

东南大学《知识图谱》研究生课程

krlpapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

kube-ladder

Learning Kubernetes, The Chinese Taoist Way

list_of_recommender_systems

A List of Recommender Systems and Resources

my-offer-to-java

记录追寻java offer的学习历程

normad

Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.

python

All Algorithms implemented in Python

snn_object_recognition

One-Shot Object Appearance Learning using Spiking Neural Networks

snn_sim

Python SNN simulator with GUI. UCSD Bioengineering Senior Design 2018

snntoolkits

snntools

Toolkits supporting for SNN experiments and analysis

spiking-equilibrium-prop

vqa_regat

A pyTorch implementation of Relation-aware Graph Attention Network for Visual Question Answering.