GluonCV and GluonNLP: 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-Li Zhang
Zhongyue Zhang
Shuai Zheng
Yi Zhu

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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