GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

作者：Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhang Zhi, Zhongyue Zhang, Shuai Zheng, Yi Zhu · 发表于：arXiv (Cornell University) · 年份：2020 · 被引用次数：163 · 研究领域：COVID-19 diagnosis using AI、Advanced Neural Network Applications、Multimodal Machine Learning Applications

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.