yanghuili Goto Github PK

-nlp-

aggcn_tacred

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

android_learning

cdcs

Chinese Data Competitions' Solutions

cogqa

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

dcic-group-image-of-consumers-----intelligent-scoring-of-credits

dialogwae

Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

distinct_ngram

dstc7-end-to-end-conversation-modeling

DSTC7-End-to-End-Conversation-Modeling

end2end

end-to-end training of dialog action

end2end_dialog

ICASSP2017: End-to-end joint learning of natural language understanding and dialogue manager

gnn_review

GNN综述阅读报告

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hyperrec

Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)

itdd

The source code of our ACL2019 paper "Incremental Transformer with Deliberation Decoder for Document Grounded Conversations "

learngit

just for learning how to use git

machine_learning_resources

:fish::fish::fish: 机器学习面试复习资源

mat_img

一个矩阵可视化小工具

medical-dialogue-system

medical-entity-recognition

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

medical_ds

memoryaugdialog

ACL2019:Learning to Abstract for Memory-augmented Conversational Response Generation

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mtransition

Android：自定义页面切换动画，Custom page Transition

mysurvey0117

类似于 ”问卷星“的app

neuraldialog-cvae

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

nlg-eval

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

nlpcc2018_multi_turn_response_selection

NLPCC2018 sub-task 2 of task 5

opennmt

Open Source Neural Machine Translation in Torch