tommy-xu Goto Github PK

nq_bert-dm

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

nsc

Neural Sentiment Classification

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

pygat

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-capsulenet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

pytorch-in-action

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

quasi-attention-absa

The codebase for a new quasi-attention BERT model for TABSA tasks

recommenders

Best Practices on Recommendation Systems

rinante

Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision

roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

rsalgorithms

Some algorithms about traditional and social recommendation.

rsn

sdgcn

Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification

sentence-transformers

Sentence Embeddings with BERT & XLNet

sequence-labeling-bilstm-crf

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

short-text-classification

SVM, FastText, TextCNN, BiGRU, CNN-BiGRU在短分本分类上的对比

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

ssh

以Struts2+Spring4+Hibernate5+Maven+MySQL为框架，以个人网站为例，搭建的Java Web框架模板

teacher-free-knowledge-distillation

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

text-classification-surveys

文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。

text_claasification

text_gcn.pytorch

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

the-story-of-heads

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the paper "Analyzing Source and Target Contributions to NMT Predictions".