These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Gluon CV Toolkit
GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in computer vision.
It is designed for engineers, researchers, and students to fast prototype products and research ideas based on these models. This toolkit offers four main features:
- Training scripts to reproduce SOTA results reported in research papers
- Supports both PyTorch and MXNet
- A large number of pre-trained models
- Carefully designed APIs that greatly reduce the implementation complexity
- Community supports
About the tool
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Github stars:
- 5653
Github forks:
- 1231
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