This repository contains implementations and illustrative code to accompany DeepMind publications

Make your own running page

A knowledge graph for Chinese cookbook（中式菜谱知识图谱）

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2 and Google/CMU Transformer-XL.

TensorFlow code and pre-trained models for BERT

PyTorch implementation of the position-aware attention model for relation extraction

Implementation of Graph Convolutional Networks in TensorFlow

✨Fast Coreference Resolution in spaCy with Neural Networks

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

Several knowledge graph representation algorithms implemented with pytorch

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Implementations of Embedding-based methods for Knowledge Base Completion tasks

Dataset Of Event Coreference Resolution On Twitter

Pytorch Implementation of Graph Convolutional Neural Networks

Helps with the distribution of Twitter datasets by downloading sets of tweets (if still available) using their ids as input.