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Bin's Projects

see icon see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

seq2seq icon seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sf-id-network-for-nlu icon sf-id-network-for-nlu

This is the source implementation of ACL2019 accepted paper: A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling(https://www.aclweb.org/anthology/P19-1544).

sgc icon sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

sgm icon sgm

Sequence Generation Model for Multi-label Classification (COLING 2018)

shell icon shell

Linux命令行与shell脚本编程大全案例

slotgated-slu icon slotgated-slu

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

smp2018 icon smp2018

SMP2018中文人机对话技术评测(ECDT)

smp2019-ecdt-nlu icon smp2019-ecdt-nlu

**中文信息学会社会媒体处理专业委员会举办的2019届中文人机对话之自然语言理解竞赛

smrctoolkit icon smrctoolkit

This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

snownlp icon snownlp

Python library for processing Chinese text

statenet icon statenet

Towards Universal Dialogue State Tracking

stdn icon stdn

Code for our Spatiotemporal Dynamic Network

stn-ocr icon stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stolos icon stolos

A Directed Acyclic Graph task dependency scheduler designed to simplify complex distributed pipelines

stopwords icon stopwords

中文常用停用词表(哈工大停用词表、百度停用词表等)

subword-nmt icon subword-nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

tabinout icon tabinout

Framework for information extraction from tables

tc-bot icon tc-bot

User Simulation for Task-Completion Dialogues

tdengine icon tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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