

Openbayes
Overview :
OpenBayes is an online machine learning platform that provides GPU/CPU computing resources, supports mainstream deep learning frameworks, and includes a large number of public datasets to help users quickly build machine learning models. The platform supports JupyterLab interactive programming, built-in persistent storage space, no longer worry about model and data loss, and supports breakpoint training. It also supports SSH login and remote development and debugging of PyCharm/VS Code. It provides a private deployment solution that can customize the cluster size, suitable for enterprise-level applications.
Target Users :
Suitable for machine learning engineers and data scientists to train and deploy models, and can also be used as an enterprise machine learning platform.
Use Cases
Medical image processing and model training
Autonomous driving project model training
Large-scale commodity recommendation system model training
Features
Out-of-the-box machine learning development environment
Provides GPU/CPU computing resources
Supports mainstream deep learning frameworks
Includes a large number of public datasets
Supports JupyterLab interactive programming
Provides persistent storage space
Supports SSH login
Supports PyCharm/VS Code remote development and debugging
Provides a private deployment solution
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