GluonCV and gluon NLP: Deep learning in computer vision and natural language processing

Jian Guo; He He; Tong He; Leonard Lausen; Mu Li; Haibin Lin; Xingjian Shi; Chenguang Wang; Junyuan Xie; Sheng Zha; Aston Zhang; Hang Zhang; Zhi Zhang; Zhongyue Zhang; Shuai Zheng; Yi Zhu

GluonCV and gluon NLP: Deep learning in computer vision and natural language processing

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage.

Original language	English (US)
Journal	Journal of Machine Learning Research
Volume	21
State	Published - Feb 1 2020

Keywords

Apache MXNet
Computer Vision
Deep Learning
Machine Learning
Natural Language Processing

ASJC Scopus subject areas

Control and Systems Engineering
Software
Statistics and Probability
Artificial Intelligence

Cite this

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title = "GluonCV and gluon NLP: Deep learning in computer vision and natural language processing",

abstract = "We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage.",

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author = "Jian Guo and He He and Tong He and Leonard Lausen and Mu Li and Haibin Lin and Xingjian Shi and Chenguang Wang and Junyuan Xie and Sheng Zha and Aston Zhang and Hang Zhang and Zhi Zhang and Zhongyue Zhang and Shuai Zheng and Yi Zhu",

note = "Publisher Copyright: {\textcopyright} 2020 Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu.",

year = "2020",

month = feb,

day = "1",

language = "English (US)",

volume = "21",

journal = "Journal of Machine Learning Research",

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T2 - Deep learning in computer vision and natural language processing

AU - Guo, Jian

AU - He, He

AU - He, Tong

AU - Lausen, Leonard

AU - Li, Mu

AU - Lin, Haibin

AU - Shi, Xingjian

AU - Wang, Chenguang

AU - Xie, Junyuan

AU - Zha, Sheng

AU - Zhang, Aston

AU - Zhang, Hang

AU - Zhang, Zhi

AU - Zhang, Zhongyue

AU - Zheng, Shuai

AU - Zhu, Yi

N1 - Publisher Copyright: © 2020 Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu.

PY - 2020/2/1

Y1 - 2020/2/1

N2 - We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage.

AB - We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage.

KW - Apache MXNet

KW - Computer Vision

KW - Deep Learning

KW - Machine Learning

KW - Natural Language Processing

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JF - Journal of Machine Learning Research

ER -

GluonCV and gluon NLP: Deep learning in computer vision and natural language processing

Abstract

Keywords

ASJC Scopus subject areas

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