Explore Better AI
The one-stop collaborative development environment for AI field provides AI development pipeline integrating code development, data management, model debugging, reasoning and evaluation
China Computing NET(C²NET)
Extensive access to intelligent computing centers, supercomputing centers and big data centers across the country to provide users with free computing resources.
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Recommended Organizations
These excellent organizations are using the OpenI AI Collaboration Platform for collaborative development of projects. To show your organization here, Click here to submit. See More Organizations
Recommended Projects
Excellent AI projects recommendation. To show your project here, Click here to submit. Click here to explore more projects.
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Open source dataset base, seamlessly integrated with your project. View all DataSet
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OpenI AI experience officer growth plan, More benefits
Community Activities
The community has prepared a wealth of activities, waiting for you to participate!
China Computing NET(C²NET)
Extensive access to intelligent computing centers, supercomputing centers and big data centers across the country to provide users with free computing resources.
Collaborative Development Environment
Provide a collaborative development environment for AI development, which is the biggest highlight that distinguishes the OpenI AI Collaboration Platform from other traditional Git platforms.
Unified Management of Development Elements
The platform provides four elements of AI development: unified management of model code, data set, model and execution environment.
Data Collaboration and Sharing
By uploading data sets in the project, many project members cooperate to complete data preprocessing. You can also establish a better model with community developers by setting the data as a public dataset.
Model Management and Sharing
Associate the model with the code version, you can adjust the model in different ways based on the historical version of the code and save the results. The trained model can be open and shared, so that more people can use the model to test and give feedback.
Once Configuration, Multiple Reuse
Provide execution environment sharing, Once Configuration, Multiple Reuse. Lower the threshold of model development, and avoid spending repetitive time configuring complex environments.