cytsinghua

cytsinghua

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BERT-GPU

multi-gpu pre-training in one machine for BERT from scratch without horovod

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LET

Source code for paper "LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching", AAAI2021.

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nlp_paper_study

研读顶会论文,复现论文相关代码

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Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

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PyTorch_BERT_Biaffine_NER

论文复现《Named Entity Recognition as Dependency Parsing》

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GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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BERT-flow

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

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RGCN-with-BERT

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

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Partially-Observed-TreeCRFs

Implementation of AAAI 21 paper: Nested Named Entity Recognition with Partially Observed TreeCRFs

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VideoBERT

Using VideoBERT to tackle video prediction

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mmt

Multi-Modal Transformer for Video Retrieval

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Text-Level-GNN

Text Level Graph Neural Network for Text Classification

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euler

A distributed graph deep learning framework.

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FinetuneZoo

简洁、方便、好用的BERT~finetune代码,LCQMC数据为例

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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MAGNET

MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network

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BertSum

Code for paper Fine-tune BERT for Extractive Summarization

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dice_loss_for_NLP

The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

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awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models,高质量中文预训练模型集合

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awesome-knowledge-graph

整理知识图谱相关学习资料

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