xitongdashi

ConMask

ConMask model described in paper Open-world Knowledge Graph Completion.

models

Models and examples built with TensorFlow

beamer

A LaTeX class for producing presentations and slides

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

ConvE

Convolutional 2D Knowledge Graph Embeddings resources

DeepPath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

deepwalk

DeepWalk - Deep Learning for Graphs

DrQA

Reading Wikipedia to Answer Open-Domain Questions

fanqiang

翻墙-科学上网

Fast-TransX

An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

freebase-triples

A methodology to process triples data from the Freebase data dumps.

inferbeddings

Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation

KALE

first commit

KBGAN

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

knowledge-graph-embeddings

Implementations of Embedding-based methods for Knowledge Base Completion tasks

KRLPapers

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

lantern

🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴

person2vec

ProjE

Embedding Projection for Knowledge Graph Completion

ProPPR-python

A python implementation of ProPPR

RUGE

SentiBridge

SentiBridge: A Knowledge Base for Entity-Sentiment Representation

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

shadowsocksr

Python port of ShadowsocksR

tensorflow-efe

A collection of Tensorflow implementations of embeddings for entities.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

TransE-1

A TensorFlow implementation of TransE model

unlimited-landeng-for-win

无限流量灯，你懂的，我不解释

VAEGAN-PYTORCH

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.